Merge branch 'main' of github.com:adish-rmr/cosmoguard_backend

.gitignore

@@ -209,4 +209,5 @@ __marimo__/
 # other
 
 pdfs/
-streamlit/
+streamlit/
+exports/

CLAUDE.md

@@ -26,19 +26,23 @@ src/pif_compiler/
 │   └── routes/
 │       ├── api_echa.py          # ECHA endpoints (single + batch search)
 │       ├── api_cosing.py        # COSING endpoints (single + batch search)
-│       ├── api_ingredients.py   # Ingredient search by CAS + list all ingested
+│       ├── api_ingredients.py   # Ingredient search by CAS + list all ingested + add tox indicator + clients CRUD
-│       ├── api_esposition.py    # Esposition preset creation + list all presets
+│       ├── api_esposition.py    # Esposition preset CRUD (create, list, delete)
+│       ├── api_orders.py        # Order creation, retry, manual pipeline trigger, Excel/PDF export
 │       └── common.py            # PDF generation, PubChem, CIR search endpoints
 ├── classes/
-│   ├── __init__.py              # Re-exports all models from models.py and main_cls.py
+│   ├── __init__.py              # Re-exports all models from models.py and main_workflow.py
 │   ├── models.py                # Pydantic models: Ingredient, DapInfo, CosingInfo,
 │   │                            #   ToxIndicator, Toxicity, Esposition, RetentionFactors, StatoOrdine
-│   └── main_cls.py              # Orchestrator classes: Order (raw input layer),
+│   └── main_workflow.py         # Order/Project workflow: Order (DB + raw JSON layer),
-│                                #   Project (processed layer), IngredientInput
+│                                #   Project (enriched layer), ProjectIngredient,
+│                                #   orchestrator functions (receive_order, process_order_pipeline,
+│                                #   retry_order, trigger_pipeline)
 ├── functions/
-│   ├── common_func.py           # PDF generation with Playwright
+│   ├── common_func.py           # PDF generation with Playwright, tox+COSING source PDF batch generation, COSING PDF download, ZIP creation
 │   ├── common_log.py            # Centralized logging configuration
-│   └── db_utils.py              # MongoDB + PostgreSQL connection helpers
+│   ├── db_utils.py              # MongoDB + PostgreSQL connection helpers
+│   └── excel_export.py          # Excel export (4 sheets: Anagrafica, Esposizione, SED, MoS)
 └── services/
     ├── srv_echa.py              # ECHA scraping, HTML parsing, toxicology extraction,
     │                            #   orchestrator (validate -> check cache -> fetch -> store)
@@ -52,7 +56,8 @@ src/pif_compiler/
 - `data/` - Input data files (`input.json` with sample INCI/CAS/percentage lists), DB schema reference (`db_schema.sql`), old CSV data
 - `logs/` - Rotating log files (debug.log, error.log) - auto-generated
 - `pdfs/` - Generated PDF files from ECHA dossier pages
-- `streamlit/` - Streamlit UI pages (`ingredients_page.py`, `exposition_page.py`)
+- `streamlit/` - Streamlit UI pages (`ingredients_page.py`, `exposition_page.py`, `order_page.py`, `orders_page.py`)
+- `scripts/` - Utility scripts (`create_mock_order.py` - inserts a test order with 4 ingredients)
 - `marimo/` - **Ignore this folder.** Debug/test notebooks, not part of the main application
 
 ## Architecture & Data Flow
@@ -74,10 +79,61 @@ src/pif_compiler/
 - `Ingredient.get_or_create(cas)` checks PostgreSQL -> MongoDB cache, returns cached if not older than 365 days, otherwise re-scrapes
 - Search history is logged to PostgreSQL (`logs.search_history` table)
 
-### Order / Project architecture
+### Order / Project workflow (`main_workflow.py`)
-- **Order** (`main_cls.py`): Raw input layer. Receives JSON with client, compiler, product type, ingredients list (CAS + percentage). Cleans CAS numbers (strips `\n`, splits by `;`). Saves to MongoDB `orders` collection. Registers client/compiler in PostgreSQL.
+
-- **Project** (`main_cls.py`): Processed layer. Created from an Order via `Project.from_order()`. Holds enriched `Ingredient` objects, percentages mapping (CAS -> %), and `Esposition` preset. `process_ingredients()` calls `Ingredient.get_or_create()` for each CAS. Saves to MongoDB `projects` collection.
+The order processing uses a **background pipeline** with state machine tracking via `StatoOrdine`:
-- An order can update an older project — they are decoupled.
+
+```
+POST /orders/create → receive_order() → BackgroundTasks → process_order_pipeline()
+                         │                                       │
+                         ▼                                       ▼
+                  Save raw JSON to MongoDB              Order.pick_next() (oldest with stato=1)
+                  + create ordini record (stato=1)             │
+                  + return id_ordine immediately               ▼
+                                                       order.validate_anagrafica() → stato=2
+                                                               │
+                                                               ▼
+                                                       Project.from_order() → stato=3
+                                                       (loads Esposition preset, parses ingredients)
+                                                               │
+                                                               ▼
+                                                       project.process_ingredients() → Ingredient.get_or_create()
+                                                       (skip if skip_tox=True or CAS empty)
+                                                               │
+                                                               ▼
+                                                       stato=5 (ARRICCHITO)
+                                                               │
+                                                               ▼
+                                                       project.save() → MongoDB + progetti table + ingredients_lineage
+                                                       On error → stato=9 (ERRORE) + note with error message
+```
+
+- **Order** (`main_workflow.py`): Pydantic model with DB table attributes + raw JSON from MongoDB. `pick_next()` classmethod picks the oldest pending order (FIFO). `validate_anagrafica()` upserts client in `clienti` table. `update_stato()` is the reusable state transition method.
+- **Project** (`main_workflow.py`): Created from Order via `Project.from_order()`. Holds `Esposition` preset (loaded by name from DB), list of `ProjectIngredient` with enriched `Ingredient` objects. `process_ingredients()` calls `Ingredient.get_or_create()` for each CAS. `save()` dumps to MongoDB `projects` collection, creates `progetti` entry, and populates `ingredients_lineage`.
+- **ProjectIngredient**: Helper model with cas, inci, percentage, is_colorante, skip_tox, and optional `Ingredient` object.
+- **Retry**: `retry_order(id_ordine)` resets an ERRORE order back to RICEVUTO for reprocessing.
+- **Manual trigger**: `trigger_pipeline()` launches the pipeline on-demand for any pending order.
+- Pipeline is **on-demand only** (no periodic polling). Each API call to `/orders/create` or `/orders/retry` triggers one background execution.
+
+### Excel export (`excel_export.py`)
+
+`export_project_excel(project, output_path)` generates a 4-sheet Excel file:
+
+1. **Anagrafica** — Client info (nome, prodotto, preset) + ingredient table (INCI, CAS, %, colorante, skip_tox)
+2. **Esposizione** — All esposition parameters + computed fields via Excel formulas (`=B12*B13`, `=B15*1000/B5`)
+3. **SED** — SED calculation per ingredient. Formula: `=(C{r}/100)*Esposizione!$B$12*Esposizione!$B$13/Esposizione!$B$5*1000`. COSING restrictions highlighted in red.
+4. **MoS** — 14 columns (Nome, %, SED, DAP, SED con DAP, Indicatore, Valore, Fattore, MoS, Fonte, Info DAP, Restrizioni, Altre Restrizioni, Note). MoS formula: `=IF(AND(E{r}>0,H{r}>0),G{r}/(E{r}*H{r}),"")`. Includes legend row.
+
+Called via `Project.export_excel()` method, exposed at `GET /orders/export/{id_ordine}`.
+
+### Source PDF generation (`common_func.py`)
+
+- `generate_project_source_pdfs(project)` — for each ingredient, generates two types of source PDFs:
+  1. **Tox best_case PDF**: downloads the ECHA dossier page of `best_case` via Playwright. Naming: `CAS_source.pdf` (source is the `ToxIndicator.source` attribute, e.g., `56-81-5_repeated_dose_toxicity.pdf`)
+  2. **COSING PDF**: downloads the official COSING regulation PDF via EU API for each `CosingInfo` with a `reference` attribute. Naming: `CAS_cosing.pdf`
+- `cosing_download(ref_no)` — downloads the COSING regulation PDF from `api.tech.ec.europa.eu` by reference number. Returns PDF bytes or error string
+- `create_sources_zip(pdf_paths, zip_path)` — bundles all source PDFs into a ZIP archive
+- Exposed at `GET /orders/export-sources/{id_ordine}` — returns ZIP as FileResponse
 
 ### PostgreSQL schema (see `data/db_schema.sql`)
 
@@ -102,10 +158,22 @@ All routes are under `/api/v1`:
 | POST | `/echa/batch-search` | Batch ECHA search for multiple CAS numbers |
 | POST | `/cosing/search` | COSING search (by name, CAS, EC, or ID) |
 | POST | `/cosing/batch-search` | Batch COSING search |
-| POST | `/ingredients/search` | Get full ingredient by CAS (cached or scraped) |
+| POST | `/ingredients/search` | Get full ingredient by CAS (cached or scraped, `force` param to bypass cache) |
+| POST | `/ingredients/add-tox-indicator` | Add custom ToxIndicator to an ingredient |
 | GET | `/ingredients/list` | List all ingested ingredients from PostgreSQL |
+| GET | `/ingredients/clients` | List all registered clients |
+| POST | `/ingredients/clients` | Create or retrieve a client |
 | POST | `/esposition/create` | Create a new esposition preset |
+| DELETE | `/esposition/delete/{preset_name}` | Delete an esposition preset by name |
 | GET | `/esposition/presets` | List all esposition presets |
+| POST | `/orders/create` | Create order + start background processing |
+| POST | `/orders/retry/{id_ordine}` | Retry a failed order (ERRORE → RICEVUTO) |
+| POST | `/orders/trigger-pipeline` | Manually trigger pipeline for next pending order |
+| GET | `/orders/export/{id_ordine}` | Download Excel export for a completed order |
+| GET | `/orders/export-sources/{id_ordine}` | Download ZIP of tox + COSING source PDFs for an order |
+| GET | `/orders/list` | List all orders with client/compiler/status info |
+| GET | `/orders/detail/{id_ordine}` | Full order detail with ingredients from MongoDB |
+| DELETE | `/orders/{id_ordine}` | Delete order and all related data (PostgreSQL + MongoDB) |
 | POST | `/common/pubchem` | PubChem property lookup by CAS |
 | POST | `/common/generate-pdf` | Generate PDF from URL via Playwright |
 | GET | `/common/download-pdf/{name}` | Download a generated PDF |
@@ -142,29 +210,58 @@ uv run uvicorn pif_compiler.main:app --reload --host 0.0.0.0 --port 8000
 ### Key conventions
 - Services in `services/` handle external API calls and data extraction
 - Models in `classes/models.py` use Pydantic `@model_validator` and `@classmethod` builders for construction from raw API data
-- Orchestrator classes in `classes/main_cls.py` handle Order (raw input) and Project (processed) layers
+- Workflow classes in `classes/main_workflow.py` handle Order (DB + raw JSON) and Project (enriched) layers
+- Order processing runs as a FastAPI `BackgroundTasks` callback (on-demand, not polled)
 - The `orchestrator` pattern (see `srv_echa.py`) handles: validate input -> check local cache -> fetch from external -> store locally -> return
 - `Ingredient.ingredient_builder(cas)` calls scraping functions directly (`pubchem_dap`, `cosing_entry`, `orchestrator`)
 - `Ingredient.save()` upserts to both MongoDB and PostgreSQL, `Ingredient.from_cas()` retrieves via PostgreSQL index -> MongoDB
-- `Ingredient.get_or_create(cas)` is the main entry point: checks cache freshness (365 days), scrapes if needed
+- `Ingredient.get_or_create(cas, force=False)` is the main entry point: checks cache freshness (365 days), scrapes if needed. `force=True` bypasses cache entirely and re-scrapes
 - All modules use the shared logger from `common_log.get_logger()`
 - API routes define Pydantic request/response models inline in each route file
 
 ### db_utils.py functions
+
+**Core:**
 - `db_connect(db_name, collection_name)` - MongoDB collection accessor
 - `postgres_connect()` - PostgreSQL connection
+
+**Ingredients:**
 - `upsert_ingrediente(cas, mongo_id, dap, cosing, tox)` - Upsert ingredient in PostgreSQL
 - `get_ingrediente_by_cas(cas)` - Get ingredient row by CAS
+- `get_ingrediente_id_by_cas(cas)` - Get PostgreSQL ID by CAS (for lineage FK)
 - `get_all_ingredienti()` - List all ingredients from PostgreSQL
+
+**Clients / Compilers:**
 - `upsert_cliente(nome_cliente)` - Upsert client, returns `id_cliente`
 - `upsert_compilatore(nome_compilatore)` - Upsert compiler, returns `id_compilatore`
+- `get_all_clienti()` - List all clients from PostgreSQL
+
+**Orders:**
+- `insert_ordine(uuid_ordine, id_cliente)` - Insert new order, returns `id_ordine`
+- `get_ordine_by_id(id_ordine)` - Get full order row
+- `get_oldest_pending_order()` - Get oldest order with stato=RICEVUTO
 - `aggiorna_stato_ordine(id_ordine, nuovo_stato)` - Update order status
+- `update_ordine_cliente(id_ordine, id_cliente)` - Set client on order
+- `update_ordine_progetto(id_ordine, uuid_progetto)` - Set project UUID on order
+- `update_ordine_note(id_ordine, note)` - Set note on order
+- `reset_ordine_per_retry(id_ordine)` - Reset ERRORE order to RICEVUTO
+- `get_all_ordini()` - List all orders with JOINs to clienti/compilatori/stati_ordini
+- `delete_ordine(id_ordine)` - Delete order + related data (lineage, progetti, MongoDB docs)
+
+**Projects:**
+- `get_preset_id_by_name(preset_name)` - Get preset FK by name
+- `insert_progetto(mongo_id, id_preset)` - Insert project, returns `id`
+- `insert_ingredient_lineage(id_progetto, id_ingrediente)` - Insert project-ingredient join
+
+**Logging:**
 - `log_ricerche(cas, target, esito)` - Log search history
 
 ### Streamlit UI
 - `streamlit/ingredients_page.py` - Ingredient search by CAS + result display + inventory of ingested ingredients
 - `streamlit/exposition_page.py` - Esposition preset creation form + list of existing presets
-- Both pages call the FastAPI endpoints via `requests` (API must be running on `localhost:8000`)
+- `streamlit/order_page.py` - Order creation form (client dropdown, preset selection, ingredient data_editor with CAS/INCI/percentage, AQUA auto-detection, validation, submit with background processing)
+- `streamlit/orders_page.py` - Order management: list with filters (date, client, status), detail view with ingredients, actions (refresh, retry, Excel download, PDF sources ZIP, delete with confirmation), notes/log display
+- All pages call the FastAPI endpoints via `requests` (API must be running on `localhost:8000`)
 - Run with: `streamlit run streamlit/<page>.py`
 
 ### Important domain concepts

data/db_schema.sql

@@ -43,7 +43,7 @@ CREATE TABLE public.ordini (
   id_cliente integer,
   id_compilatore integer,
   uuid_ordine character varying NOT NULL,
-  uuid_progetto character varying NOT NULL UNIQUE,
+  uuid_progetto character varying UNIQUE,
   data_ordine timestamp without time zone NOT NULL,
   stato_ordine integer DEFAULT 1,
   note text,

pyproject.toml

@@ -27,6 +27,7 @@ dependencies = [
     "python-dotenv>=1.2.1",
     "requests>=2.32.5",
     "streamlit>=1.50.0",
+    "openpyxl>=3.1.0",
     "uvicorn>=0.35.0",
     "weasyprint>=66.0",
 ]

scripts/create_mock_order.py

@@ -0,0 +1,246 @@
+"""
+Script per creare un ordine mock con 4 ingredienti per testare la UI.
+Inserisce direttamente nei database senza passare dalla pipeline (no scraping).
+
+Uso: uv run python scripts/create_mock_order.py
+"""
+
+import sys
+import os
+
+# Aggiungi il path del progetto
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
+
+from pif_compiler.functions.db_utils import (
+    db_connect, upsert_cliente, insert_ordine, aggiorna_stato_ordine,
+    update_ordine_cliente, upsert_ingrediente
+)
+from pif_compiler.classes.models import (
+    StatoOrdine, Ingredient, DapInfo, CosingInfo, ToxIndicator, Toxicity, Esposition
+)
+from pif_compiler.classes.main_workflow import Project, ProjectIngredient
+
+
+def ensure_preset_exists(preset_name="Test Preset"):
+    """Verifica che il preset esista, altrimenti lo crea."""
+    preset = Esposition.get_by_name(preset_name)
+    if preset:
+        print(f"Preset '{preset_name}' già esistente")
+        return preset
+
+    print(f"Creazione preset '{preset_name}'...")
+    preset = Esposition(
+        preset_name=preset_name,
+        tipo_prodotto="Crema corpo",
+        luogo_applicazione="Corpo",
+        esp_normali=["Dermal"],
+        esp_secondarie=["Oral"],
+        esp_nano=[],
+        sup_esposta=15670,
+        freq_applicazione=1,
+        qta_giornaliera=7.82,
+        ritenzione=1.0
+    )
+    result = preset.save_to_postgres()
+    if result:
+        print(f"Preset creato con id_preset={result}")
+    else:
+        print("ERRORE: impossibile creare il preset")
+        sys.exit(1)
+    return preset
+
+
+def create_mock_ingredients():
+    """Crea ingredienti mock con dati finti di tossicologia e DAP."""
+
+    # GLYCERIN (56-81-5) — con NOAEL
+    glycerin = Ingredient(
+        cas="56-81-5",
+        inci=["GLYCERIN"],
+        dap_info=DapInfo(
+            cas="56-81-5",
+            molecular_weight=92.09,
+            log_pow=-1.76,
+            tpsa=60.69,
+            melting_point=18.0
+        ),
+        cosing_info=[CosingInfo(
+            cas=["56-81-5"],
+            common_names=["Glycerol"],
+            inci=["GLYCERIN"],
+            annex=[],
+            functionName=["Humectant", "Solvent", "Skin conditioning"],
+            otherRestrictions=[],
+            cosmeticRestriction=None
+        )],
+        toxicity=Toxicity(
+            cas="56-81-5",
+            indicators=[
+                ToxIndicator(
+                    indicator="NOAEL", value=1000, unit="mg/kg bw/day",
+                    route="oral", toxicity_type="repeated_dose_toxicity",
+                    ref="https://chem.echa.europa.eu/100.003.264"
+                ),
+                ToxIndicator(
+                    indicator="LD50", value=12600, unit="mg/kg bw",
+                    route="oral", toxicity_type="acute_toxicity",
+                    ref="https://chem.echa.europa.eu/100.003.264"
+                )
+            ]
+        )
+    )
+
+    # CETYL ALCOHOL (36653-82-4) — con NOAEL
+    cetyl = Ingredient(
+        cas="36653-82-4",
+        inci=["CETYL ALCOHOL"],
+        dap_info=DapInfo(
+            cas="36653-82-4",
+            molecular_weight=242.44,
+            log_pow=6.83,
+            tpsa=20.23,
+            melting_point=49.0
+        ),
+        cosing_info=[CosingInfo(
+            cas=["36653-82-4"],
+            common_names=["Cetyl alcohol", "1-Hexadecanol"],
+            inci=["CETYL ALCOHOL"],
+            annex=[],
+            functionName=["Emollient", "Emulsifying", "Opacifying"],
+            otherRestrictions=[],
+            cosmeticRestriction=None
+        )],
+        toxicity=Toxicity(
+            cas="36653-82-4",
+            indicators=[
+                ToxIndicator(
+                    indicator="NOAEL", value=1000, unit="mg/kg bw/day",
+                    route="oral", toxicity_type="repeated_dose_toxicity",
+                    ref="https://chem.echa.europa.eu/100.004.098"
+                )
+            ]
+        )
+    )
+
+    # TOCOPHEROL (59-02-9) — con LOAEL
+    tocopherol = Ingredient(
+        cas="59-02-9",
+        inci=["TOCOPHEROL"],
+        dap_info=DapInfo(
+            cas="59-02-9",
+            molecular_weight=430.71,
+            log_pow=10.51,
+            tpsa=29.46,
+            melting_point=3.0
+        ),
+        cosing_info=[CosingInfo(
+            cas=["59-02-9"],
+            common_names=["alpha-Tocopherol"],
+            inci=["TOCOPHEROL"],
+            annex=[],
+            functionName=["Antioxidant", "Skin conditioning"],
+            otherRestrictions=[],
+            cosmeticRestriction=None
+        )],
+        toxicity=Toxicity(
+            cas="59-02-9",
+            indicators=[
+                ToxIndicator(
+                    indicator="LOAEL", value=500, unit="mg/kg bw/day",
+                    route="oral", toxicity_type="repeated_dose_toxicity",
+                    ref="https://chem.echa.europa.eu/100.000.375"
+                )
+            ]
+        )
+    )
+
+    # Salva ogni ingrediente su MongoDB + PostgreSQL
+    for ing in [glycerin, cetyl, tocopherol]:
+        mongo_id = ing.save()
+        print(f"Ingrediente {ing.cas} ({ing.inci[0]}) salvato (mongo_id={mongo_id})")
+
+    return glycerin, cetyl, tocopherol
+
+
+def create_mock_order(preset, glycerin, cetyl, tocopherol):
+    """Crea un ordine mock completo."""
+
+    # 1. Upsert cliente
+    client_name = "Cosmetica Test Srl"
+    id_cliente = upsert_cliente(client_name)
+    print(f"Cliente '{client_name}' → id_cliente={id_cliente}")
+
+    # 2. JSON ordine grezzo
+    raw_json = {
+        "client_name": client_name,
+        "product_name": "Crema Idratante Test",
+        "preset_esposizione": preset.preset_name,
+        "ingredients": [
+            {"inci": "AQUA", "cas": "", "percentage": 70.0, "is_colorante": False, "skip_tox": True},
+            {"inci": "GLYCERIN", "cas": "56-81-5", "percentage": 15.0, "is_colorante": False, "skip_tox": False},
+            {"inci": "CETYL ALCOHOL", "cas": "36653-82-4", "percentage": 10.0, "is_colorante": False, "skip_tox": False},
+            {"inci": "TOCOPHEROL", "cas": "59-02-9", "percentage": 5.0, "is_colorante": False, "skip_tox": False},
+        ]
+    }
+
+    # 3. Salva su MongoDB orders
+    orders_col = db_connect(collection_name='orders')
+    result = orders_col.insert_one(raw_json.copy())
+    uuid_ordine = str(result.inserted_id)
+    print(f"Ordine salvato su MongoDB: uuid_ordine={uuid_ordine}")
+
+    # 4. Inserisci in PostgreSQL ordini
+    id_ordine = insert_ordine(uuid_ordine, id_cliente)
+    print(f"Ordine inserito in PostgreSQL: id_ordine={id_ordine}")
+
+    # 5. Aggiorna stato a ARRICCHITO
+    update_ordine_cliente(id_ordine, id_cliente)
+    aggiorna_stato_ordine(id_ordine, int(StatoOrdine.ARRICCHITO))
+    print(f"Stato ordine aggiornato a ARRICCHITO ({StatoOrdine.ARRICCHITO})")
+
+    # 6. Crea progetto con ingredienti arricchiti
+    project = Project(
+        order_id=id_ordine,
+        product_name="Crema Idratante Test",
+        client_name=client_name,
+        esposition=preset,
+        ingredients=[
+            ProjectIngredient(cas=None, inci="AQUA", percentage=70.0, skip_tox=True),
+            ProjectIngredient(cas="56-81-5", inci="GLYCERIN", percentage=15.0, ingredient=glycerin),
+            ProjectIngredient(cas="36653-82-4", inci="CETYL ALCOHOL", percentage=10.0, ingredient=cetyl),
+            ProjectIngredient(cas="59-02-9", inci="TOCOPHEROL", percentage=5.0, ingredient=tocopherol),
+        ]
+    )
+
+    # 7. Salva il progetto (MongoDB + PostgreSQL)
+    uuid_progetto = project.save()
+    print(f"Progetto salvato: uuid_progetto={uuid_progetto}")
+
+    print("\n" + "=" * 60)
+    print("MOCK ORDER CREATO CON SUCCESSO")
+    print("=" * 60)
+    print(f"  id_ordine:     {id_ordine}")
+    print(f"  uuid_ordine:   {uuid_ordine}")
+    print(f"  uuid_progetto: {uuid_progetto}")
+    print(f"  cliente:       {client_name}")
+    print(f"  prodotto:      Crema Idratante Test")
+    print(f"  preset:        {preset.preset_name}")
+    print(f"  ingredienti:   4 (AQUA, GLYCERIN, CETYL ALCOHOL, TOCOPHEROL)")
+    print(f"  stato:         ARRICCHITO ({StatoOrdine.ARRICCHITO})")
+    print("=" * 60)
+
+    return id_ordine
+
+
+if __name__ == "__main__":
+    print("Creazione ordine mock...")
+    print()
+
+    # 1. Assicura che il preset esista
+    preset = ensure_preset_exists()
+
+    # 2. Crea ingredienti mock
+    glycerin, cetyl, tocopherol = create_mock_ingredients()
+
+    # 3. Crea l'ordine
+    create_mock_order(preset, glycerin, cetyl, tocopherol)

src/pif_compiler/api/routes/api_esposition.py

@@ -81,6 +81,37 @@ async def create_esposition(request: EspositionRequest):
         )
 
 
+@router.delete("/esposition/delete/{preset_name}", response_model=EspositionResponse, tags=["Esposition"])
+async def delete_esposition(preset_name: str):
+    """Elimina un preset di esposizione tramite il nome."""
+    logger.info(f"Eliminazione preset esposizione: {preset_name}")
+
+    try:
+        deleted = Esposition.delete_by_name(preset_name)
+
+        if not deleted:
+            logger.warning(f"Preset '{preset_name}' non trovato")
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Preset '{preset_name}' non trovato"
+            )
+
+        logger.info(f"Preset '{preset_name}' eliminato con successo")
+        return EspositionResponse(
+            success=True,
+            data={"preset_name": preset_name, "deleted": True}
+        )
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Errore eliminazione preset {preset_name}: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
 @router.get("/esposition/presets", response_model=EspositionListResponse, tags=["Esposition"])
 async def get_all_presets():
     """Recupera tutti i preset di esposizione da PostgreSQL."""

src/pif_compiler/api/routes/api_ingredients.py

@@ -2,8 +2,8 @@ from fastapi import APIRouter, HTTPException, status
 from pydantic import BaseModel, Field
 from typing import List, Optional, Dict, Any
 
-from pif_compiler.classes.models import Ingredient
+from pif_compiler.classes.models import Ingredient, ToxIndicator
-from pif_compiler.functions.db_utils import get_all_ingredienti
+from pif_compiler.functions.db_utils import get_all_ingredienti, get_all_clienti, upsert_cliente
 from pif_compiler.functions.common_log import get_logger
 
 logger = get_logger()
@@ -12,11 +12,13 @@ router = APIRouter()
 
 class IngredientRequest(BaseModel):
     cas: str = Field(..., description="CAS number dell'ingrediente da cercare")
+    force: bool = Field(default=False, description="Se True, ignora la cache e riesegue lo scraping")
 
     class Config:
         json_schema_extra = {
             "example": {
-                "cas": "56-81-5"
+                "cas": "56-81-5",
+                "force": False
             }
         }
 
@@ -31,10 +33,10 @@ class IngredientResponse(BaseModel):
 @router.post("/ingredients/search", response_model=IngredientResponse, tags=["Ingredients"])
 async def get_ingredient(request: IngredientRequest):
     """Recupera un ingrediente per CAS. Se esiste in cache lo restituisce, altrimenti lo crea da scraping."""
-    logger.info(f"Richiesta ingrediente per CAS: {request.cas}")
+    logger.info(f"Richiesta ingrediente per CAS: {request.cas}, force refresh: {request.force}")
 
     try:
-        ingredient = Ingredient.get_or_create(request.cas)
+        ingredient = Ingredient.get_or_create(request.cas, force=request.force)
 
         if ingredient is None:
             logger.warning(f"Nessun dato trovato per CAS: {request.cas}")
@@ -59,6 +61,72 @@ async def get_ingredient(request: IngredientRequest):
         )
 
 
+class AddToxIndicatorRequest(BaseModel):
+    cas: str = Field(..., description="CAS number dell'ingrediente")
+    indicator: str = Field(..., description="Tipo di indicatore (NOAEL, LOAEL, LD50)")
+    value: int = Field(..., description="Valore dell'indicatore")
+    unit: str = Field(..., description="Unità di misura (es. mg/kg bw/day)")
+    route: str = Field(..., description="Via di esposizione (es. oral, dermal, inhalation)")
+    toxicity_type: Optional[str] = Field(default=None, description="Tipo di tossicità (es. acute_toxicity, repeated_dose_toxicity)")
+    ref: Optional[str] = Field(default=None, description="Riferimento o fonte del dato")
+
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "cas": "56-81-5",
+                "indicator": "NOAEL",
+                "value": 1000,
+                "unit": "mg/kg bw/day",
+                "route": "oral",
+                "toxicity_type": "repeated_dose_toxicity",
+                "ref": "Custom - studio interno"
+            }
+        }
+
+
+@router.post("/ingredients/add-tox-indicator", response_model=IngredientResponse, tags=["Ingredients"])
+async def add_tox_indicator(request: AddToxIndicatorRequest):
+    """Aggiunge un indicatore tossicologico custom a un ingrediente e ricalcola il best_case."""
+    logger.info(f"Aggiunta indicatore tox custom per CAS: {request.cas}")
+
+    try:
+        ingredient = Ingredient.from_cas(request.cas)
+
+        if ingredient is None:
+            logger.warning(f"Ingrediente non trovato per CAS: {request.cas}")
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Ingrediente con CAS '{request.cas}' non trovato in cache"
+            )
+
+        new_indicator = ToxIndicator(
+            indicator=request.indicator,
+            value=request.value,
+            unit=request.unit,
+            route=request.route,
+            toxicity_type=request.toxicity_type,
+            ref=request.ref
+        )
+
+        ingredient.add_tox_indicator(new_indicator)
+
+        logger.info(f"Indicatore tox aggiunto per CAS {request.cas}, best_case: {ingredient.toxicity.best_case.indicator if ingredient.toxicity.best_case else 'nessuno'}")
+        return IngredientResponse(
+            success=True,
+            cas=request.cas,
+            data=ingredient.model_dump()
+        )
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Errore aggiunta indicatore tox per {request.cas}: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
 class IngredientListResponse(BaseModel):
     success: bool
     total: int
@@ -100,3 +168,67 @@ async def list_ingredients():
             status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
             detail=f"Errore interno: {str(e)}"
         )
+
+
+class ClientListResponse(BaseModel):
+    success: bool
+    data: Optional[List[Dict[str, Any]]] = None
+    error: Optional[str] = None
+
+
+class ClientCreateRequest(BaseModel):
+    nome_cliente: str = Field(..., description="Nome del cliente")
+
+
+class ClientCreateResponse(BaseModel):
+    success: bool
+    data: Optional[Dict[str, Any]] = None
+    error: Optional[str] = None
+
+
+@router.get("/ingredients/clients", response_model=ClientListResponse, tags=["Clients"])
+async def list_clients():
+    """Restituisce tutti i clienti registrati."""
+    logger.info("Recupero lista clienti")
+
+    try:
+        rows = get_all_clienti()
+        clients = [{"id_cliente": r[0], "nome_cliente": r[1]} for r in rows]
+
+        logger.info(f"Recuperati {len(clients)} clienti")
+        return ClientListResponse(success=True, data=clients)
+
+    except Exception as e:
+        logger.error(f"Errore recupero clienti: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.post("/ingredients/clients", response_model=ClientCreateResponse, tags=["Clients"])
+async def create_client(request: ClientCreateRequest):
+    """Crea o recupera un cliente. Ritorna id_cliente."""
+    logger.info(f"Creazione/recupero cliente: {request.nome_cliente}")
+
+    try:
+        id_cliente = upsert_cliente(request.nome_cliente)
+
+        if id_cliente is None:
+            return ClientCreateResponse(
+                success=False,
+                error=f"Errore nel salvataggio del cliente '{request.nome_cliente}'"
+            )
+
+        logger.info(f"Cliente '{request.nome_cliente}' con id_cliente={id_cliente}")
+        return ClientCreateResponse(
+            success=True,
+            data={"id_cliente": id_cliente, "nome_cliente": request.nome_cliente}
+        )
+
+    except Exception as e:
+        logger.error(f"Errore creazione cliente: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )

src/pif_compiler/api/routes/api_orders.py

@@ -0,0 +1,440 @@
+from fastapi import APIRouter, HTTPException, BackgroundTasks, status
+from fastapi.responses import FileResponse
+from pydantic import BaseModel, Field
+from typing import List, Optional, Dict, Any
+
+from pif_compiler.classes.main_workflow import receive_order, process_order_pipeline, retry_order, trigger_pipeline, Project
+from pif_compiler.functions.db_utils import db_connect, get_ordine_by_id, get_all_ordini, delete_ordine
+from pif_compiler.functions.common_func import generate_project_source_pdfs, create_sources_zip
+from pif_compiler.functions.common_log import get_logger
+
+logger = get_logger()
+router = APIRouter()
+
+
+# ==================== REQUEST / RESPONSE MODELS ====================
+
+class OrderIngredientInput(BaseModel):
+    inci: Optional[str] = None
+    cas: Optional[str] = None
+    percentage: float = 0.0
+    is_colorante: bool = False
+    skip_tox: bool = False
+
+
+class OrderCreateRequest(BaseModel):
+    client_name: str = Field(..., description="Nome del cliente")
+    product_name: str = Field(..., description="Nome del prodotto cosmetico")
+    preset_esposizione: str = Field(..., description="Nome del preset di esposizione")
+    ingredients: List[OrderIngredientInput] = Field(..., description="Lista ingredienti")
+
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "client_name": "Cosmetica Italia srl",
+                "product_name": "Crema 'Cremosa'",
+                "preset_esposizione": "Test Preset",
+                "ingredients": [
+                    {"inci": "AQUA", "cas": "", "percentage": 90, "is_colorante": False, "skip_tox": True},
+                    {"inci": None, "cas": "56-81-5", "percentage": 6, "is_colorante": False, "skip_tox": False},
+                    {"inci": None, "cas": "9007-16-3", "percentage": 3, "is_colorante": False, "skip_tox": False},
+                    {"inci": None, "cas": "JYY-807", "percentage": 1, "is_colorante": True, "skip_tox": False}
+                ]
+            }
+        }
+
+
+class OrderCreateResponse(BaseModel):
+    success: bool
+    id_ordine: Optional[int] = None
+    message: Optional[str] = None
+    error: Optional[str] = None
+
+
+# ==================== ROUTES ====================
+
+@router.post("/orders/create", response_model=OrderCreateResponse, tags=["Orders"])
+async def create_order(request: OrderCreateRequest, background_tasks: BackgroundTasks):
+    """
+    Crea un nuovo ordine e avvia l'elaborazione in background.
+    Il JSON viene salvato su MongoDB, il record su PostgreSQL (stato=RICEVUTO).
+    L'arricchimento degli ingredienti avviene in background.
+    """
+    logger.info(f"Nuovo ordine ricevuto: cliente={request.client_name}, prodotto={request.product_name}")
+
+    try:
+        raw_json = request.model_dump()
+        id_ordine = receive_order(raw_json)
+
+        if id_ordine is None:
+            return OrderCreateResponse(
+                success=False,
+                error="Errore nel salvataggio dell'ordine"
+            )
+
+        # Avvia l'elaborazione in background
+        background_tasks.add_task(process_order_pipeline)
+
+        logger.info(f"Ordine {id_ordine} creato, elaborazione avviata in background")
+        return OrderCreateResponse(
+            success=True,
+            id_ordine=id_ordine,
+            message=f"Ordine {id_ordine} ricevuto. Elaborazione avviata in background."
+        )
+
+    except Exception as e:
+        logger.error(f"Errore creazione ordine: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.post("/orders/retry/{id_ordine}", response_model=OrderCreateResponse, tags=["Orders"])
+async def retry_failed_order(id_ordine: int, background_tasks: BackgroundTasks):
+    """
+    Resetta un ordine in stato ERRORE a RICEVUTO e rilancia la pipeline.
+    """
+    logger.info(f"Retry ordine {id_ordine}")
+
+    try:
+        success = retry_order(id_ordine)
+
+        if not success:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=f"Ordine {id_ordine} non trovato o non in stato ERRORE"
+            )
+
+        background_tasks.add_task(process_order_pipeline)
+
+        return OrderCreateResponse(
+            success=True,
+            id_ordine=id_ordine,
+            message=f"Ordine {id_ordine} resettato. Rielaborazione avviata in background."
+        )
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Errore retry ordine {id_ordine}: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.post("/orders/trigger-pipeline", response_model=OrderCreateResponse, tags=["Orders"])
+async def manual_trigger_pipeline(background_tasks: BackgroundTasks):
+    """
+    Lancia manualmente la pipeline di elaborazione.
+    Processa il prossimo ordine pendente (più vecchio con stato RICEVUTO).
+    """
+    logger.info("Trigger manuale pipeline")
+
+    try:
+        background_tasks.add_task(trigger_pipeline)
+
+        return OrderCreateResponse(
+            success=True,
+            message="Pipeline avviata in background."
+        )
+
+    except Exception as e:
+        logger.error(f"Errore trigger pipeline: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.get("/orders/export/{id_ordine}", tags=["Orders"])
+async def export_order_excel(id_ordine: int):
+    """
+    Genera e scarica il file Excel per un ordine completato.
+    L'ordine deve avere un uuid_progetto associato (stato >= ARRICCHITO).
+    """
+    logger.info(f"Export Excel per ordine {id_ordine}")
+
+    try:
+        # Recupera l'ordine dal DB
+        row = get_ordine_by_id(id_ordine)
+        if not row:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Ordine {id_ordine} non trovato"
+            )
+
+        uuid_progetto = row[4]  # uuid_progetto
+        if not uuid_progetto:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=f"Ordine {id_ordine} non ha un progetto associato (elaborazione non completata?)"
+            )
+
+        # Recupera il progetto da MongoDB
+        from bson import ObjectId
+        collection = db_connect(collection_name='projects')
+        doc = collection.find_one({"_id": ObjectId(uuid_progetto)})
+        if not doc:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Progetto {uuid_progetto} non trovato in MongoDB"
+            )
+
+        doc.pop("_id", None)
+        project = Project(**doc)
+
+        # Genera Excel
+        output_path = project.export_excel()
+
+        logger.info(f"Excel generato per ordine {id_ordine}: {output_path}")
+        return FileResponse(
+            path=output_path,
+            filename=f"progetto_{id_ordine}.xlsx",
+            media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
+        )
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Errore export Excel ordine {id_ordine}: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.get("/orders/export-sources/{id_ordine}", tags=["Orders"])
+async def export_order_sources(id_ordine: int):
+    """
+    Genera i PDF delle fonti per ogni ingrediente di un ordine e li restituisce in un archivio ZIP.
+
+    Include: PDF tossicologico del best_case (CAS_source.pdf) + PDF COSING (CAS_cosing.pdf).
+    """
+    logger.info(f"Export fonti PDF per ordine {id_ordine}")
+
+    try:
+        # Recupera l'ordine dal DB
+        row = get_ordine_by_id(id_ordine)
+        if not row:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Ordine {id_ordine} non trovato"
+            )
+
+        uuid_progetto = row[4]
+        if not uuid_progetto:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=f"Ordine {id_ordine} non ha un progetto associato"
+            )
+
+        # Recupera il progetto da MongoDB
+        from bson import ObjectId
+        collection = db_connect(collection_name='projects')
+        doc = collection.find_one({"_id": ObjectId(uuid_progetto)})
+        if not doc:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Progetto {uuid_progetto} non trovato in MongoDB"
+            )
+
+        doc.pop("_id", None)
+        project = Project(**doc)
+
+        # Genera i PDF delle fonti
+        pdf_paths = await generate_project_source_pdfs(project)
+
+        if not pdf_paths:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail="Nessuna fonte (tox/COSING) disponibile per questo progetto"
+            )
+
+        # Crea ZIP
+        import os
+        os.makedirs("exports", exist_ok=True)
+        zip_path = f"exports/fonti_ordine_{id_ordine}.zip"
+        create_sources_zip(pdf_paths, zip_path)
+
+        logger.info(f"ZIP fonti generato per ordine {id_ordine}: {zip_path} ({len(pdf_paths)} PDF)")
+        return FileResponse(
+            path=zip_path,
+            filename=f"fonti_ordine_{id_ordine}.zip",
+            media_type="application/zip"
+        )
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Errore export fonti ordine {id_ordine}: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.get("/orders/list", tags=["Orders"])
+async def list_orders():
+    """
+    Recupera la lista di tutti gli ordini con info cliente, compilatore e stato.
+    Per ciascun ordine recupera product_name dal documento MongoDB.
+    """
+    logger.info("Richiesta lista ordini")
+
+    try:
+        rows = get_all_ordini()
+
+        orders = []
+        orders_col = db_connect(collection_name='orders')
+
+        for row in rows:
+            id_ordine, uuid_ordine, uuid_progetto, data_ordine, stato_ordine, note, \
+                nome_cliente, nome_compilatore, nome_stato = row
+
+            # Recupera product_name da MongoDB
+            product_name = None
+            if uuid_ordine:
+                try:
+                    from bson import ObjectId
+                    doc = orders_col.find_one({"_id": ObjectId(uuid_ordine)}, {"product_name": 1})
+                    if doc:
+                        product_name = doc.get("product_name")
+                except Exception:
+                    pass
+
+            orders.append({
+                "id_ordine": id_ordine,
+                "uuid_ordine": uuid_ordine,
+                "uuid_progetto": uuid_progetto,
+                "data_ordine": data_ordine.isoformat() if data_ordine else None,
+                "stato_ordine": stato_ordine,
+                "note": note,
+                "nome_cliente": nome_cliente,
+                "nome_compilatore": nome_compilatore,
+                "nome_stato": nome_stato,
+                "product_name": product_name,
+            })
+
+        return {"success": True, "data": orders}
+
+    except Exception as e:
+        logger.error(f"Errore lista ordini: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.get("/orders/detail/{id_ordine}", tags=["Orders"])
+async def get_order_detail(id_ordine: int):
+    """
+    Recupera il dettaglio completo di un ordine: dati PostgreSQL + documento MongoDB.
+    Include product_name, preset, lista ingredienti dal JSON originale.
+    """
+    logger.info(f"Dettaglio ordine {id_ordine}")
+
+    try:
+        row = get_ordine_by_id(id_ordine)
+        if not row:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Ordine {id_ordine} non trovato"
+            )
+
+        id_ord, id_cliente, id_compilatore, uuid_ordine, uuid_progetto, \
+            data_ordine, stato_ordine, note = row
+
+        # Recupera nomi da PostgreSQL
+        from pif_compiler.functions.db_utils import postgres_connect
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            nome_cliente = None
+            if id_cliente:
+                cur.execute("SELECT nome_cliente FROM clienti WHERE id_cliente = %s", (id_cliente,))
+                r = cur.fetchone()
+                nome_cliente = r[0] if r else None
+
+            nome_compilatore = None
+            if id_compilatore:
+                cur.execute("SELECT nome_compilatore FROM compilatori WHERE id_compilatore = %s", (id_compilatore,))
+                r = cur.fetchone()
+                nome_compilatore = r[0] if r else None
+
+            cur.execute("SELECT nome_stato FROM stati_ordini WHERE id_stato = %s", (stato_ordine,))
+            r = cur.fetchone()
+            nome_stato = r[0] if r else None
+        conn.close()
+
+        # Recupera dati dal documento MongoDB ordine
+        product_name = None
+        preset_esposizione = None
+        ingredients = []
+
+        if uuid_ordine:
+            from bson import ObjectId
+            orders_col = db_connect(collection_name='orders')
+            try:
+                doc = orders_col.find_one({"_id": ObjectId(uuid_ordine)})
+                if doc:
+                    product_name = doc.get("product_name")
+                    preset_esposizione = doc.get("preset_esposizione")
+                    ingredients = doc.get("ingredients", [])
+            except Exception:
+                pass
+
+        return {
+            "success": True,
+            "order": {
+                "id_ordine": id_ord,
+                "uuid_ordine": uuid_ordine,
+                "uuid_progetto": uuid_progetto,
+                "data_ordine": data_ordine.isoformat() if data_ordine else None,
+                "stato_ordine": stato_ordine,
+                "nome_stato": nome_stato,
+                "note": note,
+                "nome_cliente": nome_cliente,
+                "nome_compilatore": nome_compilatore,
+                "product_name": product_name,
+                "preset_esposizione": preset_esposizione,
+                "ingredients": ingredients,
+            }
+        }
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Errore dettaglio ordine {id_ordine}: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )
+
+
+@router.delete("/orders/{id_ordine}", tags=["Orders"])
+async def remove_order(id_ordine: int):
+    """
+    Elimina un ordine e tutti i dati correlati (progetto, lineage, documenti MongoDB).
+    """
+    logger.info(f"Eliminazione ordine {id_ordine}")
+
+    try:
+        success = delete_ordine(id_ordine)
+
+        if not success:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Ordine {id_ordine} non trovato o errore nell'eliminazione"
+            )
+
+        return {"success": True, "message": f"Ordine {id_ordine} eliminato con successo"}
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Errore eliminazione ordine {id_ordine}: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Errore interno: {str(e)}"
+        )

src/pif_compiler/classes/__init__.py

@@ -15,10 +15,14 @@ from pif_compiler.classes.models import (
     Esposition,
 )
 
-from pif_compiler.classes.main_cls import (
+from pif_compiler.classes.main_workflow import (
-    IngredientInput,
+    ProjectIngredient,
     Order,
     Project,
+    receive_order,
+    process_order_pipeline,
+    retry_order,
+    trigger_pipeline,
 )
 
 __all__ = [
@@ -30,7 +34,9 @@ __all__ = [
     "Ingredient",
     "RetentionFactors",
     "Esposition",
-    "IngredientInput",
+    "ProjectIngredient",
     "Order",
     "Project",
+    "receive_order",
+    "process_order_pipeline",
 ]

src/pif_compiler/classes/main_cls.py

@@ -1,209 +0,0 @@
-import uuid
-
-from pydantic import BaseModel, Field, model_validator
-from typing import Dict, List, Optional
-from datetime import datetime as dt
-
-from pif_compiler.classes.models import (
-    StatoOrdine,
-    Ingredient,
-    Esposition,
-)
-
-from pif_compiler.functions.db_utils import (
-    db_connect,
-    upsert_cliente,
-    upsert_compilatore,
-)
-from pif_compiler.functions.common_log import get_logger
-
-logger = get_logger()
-
-
-class IngredientInput(BaseModel):
-    cas_raw: str
-    cas_list: List[str] = Field(default_factory=list)
-    percentage: float
-
-    @model_validator(mode='after')
-    def clean_cas(self):
-        cleaned = self.cas_raw.replace('\n', '')
-        self.cas_list = [c.strip() for c in cleaned.split(';') if c.strip()]
-        return self
-
-
-class Order(BaseModel):
-    """Layer grezzo: riceve l'input, lo valida e lo salva su MongoDB."""
-    uuid_ordine: str = Field(default_factory=lambda: str(uuid.uuid4()))
-    client_name: str
-    compiler_name: str
-    product_type: str
-    date: str
-    notes: str = ""
-    stato: StatoOrdine = StatoOrdine.RICEVUTO
-
-    ingredients_input: List[IngredientInput]
-    total_percentage: float = 0
-    num_ingredients: int = 0
-    created_at: Optional[str] = None
-
-    @model_validator(mode='after')
-    def set_defaults(self):
-        if self.created_at is None:
-            self.created_at = dt.now().isoformat()
-        if self.total_percentage == 0:
-            self.total_percentage = sum(i.percentage for i in self.ingredients_input)
-        if self.num_ingredients == 0:
-            self.num_ingredients = len(self.ingredients_input)
-        return self
-
-    @classmethod
-    def from_input(cls, data: dict):
-        """Costruisce un Order a partire dal JSON grezzo di input."""
-        ingredients_input = []
-        for ing in data.get('ingredients', []):
-            ingredients_input.append(IngredientInput(
-                cas_raw=ing.get('CAS Number', ''),
-                percentage=ing.get('Percentage (%)', 0)
-            ))
-
-        return cls(
-            client_name=data.get('client_name', ''),
-            compiler_name=data.get('compiler_name', ''),
-            product_type=data.get('product_type', ''),
-            date=data.get('date', ''),
-            notes=data.get('notes', ''),
-            ingredients_input=ingredients_input,
-        )
-
-    def save(self):
-        """Salva l'ordine su MongoDB (collection 'orders'). Ritorna il mongo_id."""
-        collection = db_connect(collection_name='orders')
-        mongo_dict = self.model_dump()
-
-        result = collection.replace_one(
-            {"uuid_ordine": self.uuid_ordine},
-            mongo_dict,
-            upsert=True
-        )
-
-        if result.upserted_id:
-            mongo_id = str(result.upserted_id)
-        else:
-            doc = collection.find_one({"uuid_ordine": self.uuid_ordine}, {"_id": 1})
-            mongo_id = str(doc["_id"])
-
-        logger.info(f"Ordine {self.uuid_ordine} salvato su MongoDB: {mongo_id}")
-        return mongo_id
-
-    def register(self):
-        """Registra cliente e compilatore su PostgreSQL. Ritorna (id_cliente, id_compilatore)."""
-        id_cliente = upsert_cliente(self.client_name)
-        id_compilatore = upsert_compilatore(self.compiler_name)
-        logger.info(f"Registrato cliente={id_cliente}, compilatore={id_compilatore}")
-        return id_cliente, id_compilatore
-
-
-class Project(BaseModel):
-    """Layer elaborato: contiene gli ingredienti arricchiti, l'esposizione e le statistiche."""
-    uuid_progetto: str = Field(default_factory=lambda: str(uuid.uuid4()))
-    uuid_ordine: str
-    stato: StatoOrdine = StatoOrdine.VALIDATO
-
-    ingredients: List[Ingredient] = Field(default_factory=list)
-    percentages: Dict[str, float] = Field(default_factory=dict)
-    esposition: Optional[Esposition] = None
-
-    created_at: Optional[str] = None
-
-    @model_validator(mode='after')
-    def set_created_at(self):
-        if self.created_at is None:
-            self.created_at = dt.now().isoformat()
-        return self
-
-    @classmethod
-    def from_order(cls, order: Order):
-        """Crea un progetto a partire da un ordine, estraendo la lista CAS e le percentuali."""
-        percentages = {}
-        for ing_input in order.ingredients_input:
-            for cas in ing_input.cas_list:
-                percentages[cas] = ing_input.percentage
-
-        return cls(
-            uuid_ordine=order.uuid_ordine,
-            percentages=percentages,
-        )
-
-    def process_ingredients(self):
-        """Arricchisce tutti gli ingredienti tramite Ingredient.get_or_create."""
-        self.stato = StatoOrdine.ARRICCHIMENTO
-        self.ingredients = []
-        errori = 0
-
-        for cas in self.percentages:
-            try:
-                ingredient = Ingredient.get_or_create(cas)
-                self.ingredients.append(ingredient)
-                logger.info(f"Ingrediente {cas} processato")
-            except Exception as e:
-                logger.error(f"Errore processando CAS {cas}: {e}")
-                errori += 1
-
-        self.stato = StatoOrdine.ARRICCHIMENTO_PARZIALE if errori > 0 else StatoOrdine.ARRICCHITO
-        self.save()
-        return self.ingredients
-
-    def set_esposition(self, preset_name: str):
-        """Carica un preset di esposizione da PostgreSQL per nome."""
-        presets = Esposition.get_presets()
-        for p in presets:
-            if p.preset_name == preset_name:
-                self.esposition = p
-                return p
-        logger.warning(f"Preset '{preset_name}' non trovato")
-        return None
-
-    def save(self):
-        """Salva il progetto su MongoDB (collection 'projects'). Ritorna il mongo_id."""
-        collection = db_connect(collection_name='projects')
-        mongo_dict = self.model_dump()
-
-        result = collection.replace_one(
-            {"uuid_progetto": self.uuid_progetto},
-            mongo_dict,
-            upsert=True
-        )
-
-        if result.upserted_id:
-            mongo_id = str(result.upserted_id)
-        else:
-            doc = collection.find_one({"uuid_progetto": self.uuid_progetto}, {"_id": 1})
-            mongo_id = str(doc["_id"])
-
-        logger.info(f"Progetto {self.uuid_progetto} salvato su MongoDB: {mongo_id}")
-        return mongo_id
-
-    def get_stats(self):
-        """Ritorna statistiche sul progetto e sullo stato di arricchimento."""
-        stats = {
-            "uuid_progetto": self.uuid_progetto,
-            "uuid_ordine": self.uuid_ordine,
-            "stato": self.stato.name,
-            "has_esposition": self.esposition is not None,
-            "num_ingredients": len(self.ingredients),
-            "num_cas_input": len(self.percentages),
-        }
-
-        if self.ingredients:
-            stats["enrichment"] = {
-                "with_dap": sum(1 for i in self.ingredients if i.dap_info is not None),
-                "with_cosing": sum(1 for i in self.ingredients if i.cosing_info is not None),
-                "with_tox": sum(1 for i in self.ingredients if i.toxicity is not None),
-                "with_noael": sum(
-                    1 for i in self.ingredients
-                    if i.toxicity and any(ind.indicator == 'NOAEL' for ind in i.toxicity.indicators)
-                ),
-            }
-
-        return stats

src/pif_compiler/classes/main_workflow.py

@@ -0,0 +1,368 @@
+"""
+PIF Compiler - Workflow di elaborazione ordini
+
+Contiene le classi Order e Project e le funzioni orchestratore
+per il flusso di elaborazione degli ordini cosmetici.
+"""
+
+from datetime import datetime as dt
+from typing import List, Optional
+
+from pydantic import BaseModel, Field, ConfigDict, model_validator
+
+from pif_compiler.classes.models import (
+    StatoOrdine, Ingredient, Esposition
+)
+from pif_compiler.functions.db_utils import (
+    db_connect, upsert_cliente, aggiorna_stato_ordine,
+    insert_ordine, get_oldest_pending_order,
+    update_ordine_cliente, update_ordine_progetto, update_ordine_note,
+    get_preset_id_by_name, insert_progetto,
+    insert_ingredient_lineage, get_ingrediente_id_by_cas,
+    get_ordine_by_id, reset_ordine_per_retry
+)
+from pif_compiler.functions.common_log import get_logger
+
+logger = get_logger()
+
+
+# ==================== MODELS ====================
+
+class ProjectIngredient(BaseModel):
+    """Rappresenta un ingrediente nel contesto di un progetto."""
+    cas: Optional[str] = None
+    inci: Optional[str] = None
+    percentage: float = 0.0
+    is_colorante: bool = False
+    skip_tox: bool = False
+    ingredient: Optional[Ingredient] = None
+
+
+class Order(BaseModel):
+    """
+    Ordine grezzo ricevuto dal front-end.
+    Contiene i dati della tabella ordini + il JSON grezzo da MongoDB.
+    """
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    # Attributi dalla tabella ordini
+    id_ordine: int
+    uuid_ordine: str
+    id_cliente: Optional[int] = None
+    id_compilatore: Optional[int] = None
+    data_ordine: dt
+    stato_ordine: StatoOrdine = StatoOrdine.RICEVUTO
+    uuid_progetto: Optional[str] = None
+    note: Optional[str] = None
+
+    # JSON grezzo da MongoDB
+    raw_json: dict = Field(default_factory=dict)
+
+    # Campi derivati dal raw_json
+    client_name: Optional[str] = None
+    product_name: Optional[str] = None
+    preset_name: Optional[str] = None
+    ingredients_raw: list = Field(default_factory=list)
+
+    @model_validator(mode='after')
+    def parse_raw_json(self):
+        """Parsa il raw_json per estrarre i campi principali."""
+        if self.raw_json:
+            self.client_name = self.raw_json.get('client_name')
+            self.product_name = self.raw_json.get('product_name')
+            self.preset_name = self.raw_json.get('preset_esposizione')
+            self.ingredients_raw = self.raw_json.get('ingredients', [])
+        return self
+
+    @classmethod
+    def pick_next(cls) -> Optional['Order']:
+        """
+        Recupera il prossimo ordine da elaborare.
+        Prende il più vecchio con stato_ordine = RICEVUTO (1).
+        """
+        row = get_oldest_pending_order()
+        if not row:
+            logger.info("Nessun ordine pendente trovato")
+            return None
+
+        id_ordine, id_cliente, id_compilatore, uuid_ordine, uuid_progetto, data_ordine, stato_ordine, note = row
+
+        # Recupera il JSON grezzo da MongoDB
+        from bson import ObjectId
+        collection = db_connect(collection_name='orders')
+        doc = collection.find_one({"_id": ObjectId(uuid_ordine)})
+        if not doc:
+            logger.error(f"Documento MongoDB non trovato per uuid_ordine={uuid_ordine}")
+            return None
+        doc.pop("_id", None)
+
+        logger.info(f"Ordine {id_ordine} recuperato (uuid={uuid_ordine})")
+
+        return cls(
+            id_ordine=id_ordine,
+            uuid_ordine=uuid_ordine,
+            id_cliente=id_cliente,
+            id_compilatore=id_compilatore,
+            data_ordine=data_ordine,
+            stato_ordine=StatoOrdine(stato_ordine),
+            uuid_progetto=uuid_progetto,
+            note=note,
+            raw_json=doc
+        )
+
+    def update_stato(self, nuovo_stato: StatoOrdine):
+        """Aggiorna lo stato dell'ordine nel DB e nell'oggetto."""
+        aggiorna_stato_ordine(self.id_ordine, nuovo_stato)
+        self.stato_ordine = nuovo_stato
+        logger.info(f"Ordine {self.id_ordine}: stato -> {nuovo_stato.name} ({nuovo_stato.value})")
+
+    def validate_anagrafica(self):
+        """
+        Valida i dati anagrafici dell'ordine.
+        - Verifica/crea il cliente nella tabella clienti
+        - Aggiorna id_cliente sull'ordine
+        - Stato -> VALIDATO
+        """
+        if not self.client_name:
+            raise ValueError("Nome cliente mancante nel JSON dell'ordine")
+
+        id_cliente = upsert_cliente(self.client_name)
+        if id_cliente is None:
+            raise ValueError(f"Errore nella validazione del cliente '{self.client_name}'")
+
+        self.id_cliente = id_cliente
+        update_ordine_cliente(self.id_ordine, id_cliente)
+        logger.info(f"Ordine {self.id_ordine}: cliente '{self.client_name}' validato (id={id_cliente})")
+
+        self.update_stato(StatoOrdine.VALIDATO)
+
+
+class Project(BaseModel):
+    """
+    Progetto di valutazione cosmetica.
+    Creato a partire da un Order, contiene gli ingredienti arricchiti
+    e il preset di esposizione.
+    """
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    order_id: int
+    product_name: str
+    client_name: str
+    esposition: Esposition
+    ingredients: List[ProjectIngredient] = Field(default_factory=list)
+
+    @classmethod
+    def from_order(cls, order: Order) -> 'Project':
+        """Crea un Project a partire da un Order validato."""
+        # Recupera il preset di esposizione
+        preset_name = order.preset_name
+        if not preset_name:
+            raise ValueError("Nome preset esposizione mancante nell'ordine")
+
+        esposition = Esposition.get_by_name(preset_name)
+        if not esposition:
+            raise ValueError(f"Preset esposizione '{preset_name}' non trovato nel database")
+
+        logger.info(f"Ordine {order.id_ordine}: preset '{preset_name}' recuperato")
+
+        # Parsa gli ingredienti dal JSON grezzo
+        project_ingredients = []
+        for ing_raw in order.ingredients_raw:
+            cas_value = ing_raw.get('cas', '') or None
+            if cas_value == '':
+                cas_value = None
+
+            pi = ProjectIngredient(
+                cas=cas_value,
+                inci=ing_raw.get('inci'),
+                percentage=ing_raw.get('percentage', 0),
+                is_colorante=ing_raw.get('is_colorante', False),
+                skip_tox=ing_raw.get('skip_tox', False)
+            )
+            project_ingredients.append(pi)
+
+        logger.info(f"Ordine {order.id_ordine}: {len(project_ingredients)} ingredienti parsati")
+
+        return cls(
+            order_id=order.id_ordine,
+            product_name=order.product_name or "",
+            client_name=order.client_name or "",
+            esposition=esposition,
+            ingredients=project_ingredients
+        )
+
+    def process_ingredients(self):
+        """
+        Arricchisce gli ingredienti tramite scraping (ECHA, PubChem, COSING).
+        Salta gli ingredienti con skip_tox=True o CAS vuoto.
+        """
+        enriched = 0
+        skipped = 0
+
+        for pi in self.ingredients:
+            if pi.skip_tox or not pi.cas:
+                logger.info(f"Skip ingrediente: inci={pi.inci}, cas={pi.cas}, skip_tox={pi.skip_tox}")
+                skipped += 1
+                continue
+
+            try:
+                logger.info(f"Arricchimento ingrediente CAS={pi.cas}...")
+                inci_list = [pi.inci] if pi.inci else None
+                ingredient = Ingredient.get_or_create(pi.cas, inci=inci_list)
+                pi.ingredient = ingredient
+                enriched += 1
+                logger.info(f"Ingrediente CAS={pi.cas} arricchito: {ingredient.get_stats()}")
+            except Exception as e:
+                logger.error(f"Errore arricchimento CAS={pi.cas}: {e}", exc_info=True)
+                continue
+
+        logger.info(f"Arricchimento completato: {enriched} arricchiti, {skipped} saltati")
+
+    def save(self) -> Optional[str]:
+        """
+        Salva il progetto su MongoDB e PostgreSQL.
+        1. Dump su MongoDB collection 'projects'
+        2. Aggiorna ordini.uuid_progetto
+        3. Inserisci nella tabella progetti
+        4. Inserisci relazioni ingredients_lineage
+        """
+        # 1. Dump su MongoDB
+        collection = db_connect(collection_name='projects')
+        mongo_dict = self.model_dump(mode='json')
+        result = collection.insert_one(mongo_dict)
+        uuid_progetto = str(result.inserted_id)
+
+        logger.info(f"Progetto salvato su MongoDB: uuid_progetto={uuid_progetto}")
+
+        # 2. Aggiorna ordini.uuid_progetto
+        update_ordine_progetto(self.order_id, uuid_progetto)
+
+        # 3. Recupera id_preset e inserisci in progetti
+        id_preset = get_preset_id_by_name(self.esposition.preset_name)
+        id_progetto = insert_progetto(uuid_progetto, id_preset)
+
+        if id_progetto:
+            logger.info(f"Progetto inserito in PostgreSQL: id={id_progetto}")
+
+            # 4. Inserisci ingredients_lineage per ogni ingrediente arricchito
+            for pi in self.ingredients:
+                if pi.ingredient and pi.cas:
+                    id_ingrediente = get_ingrediente_id_by_cas(pi.cas)
+                    if id_ingrediente:
+                        insert_ingredient_lineage(id_progetto, id_ingrediente)
+                        logger.info(f"Lineage: progetto={id_progetto}, ingrediente CAS={pi.cas}")
+        else:
+            logger.error("Errore inserimento progetto in PostgreSQL")
+
+        return uuid_progetto
+
+    def export_excel(self, output_path: str = None) -> str:
+        """Esporta il progetto in un file Excel. Ritorna il percorso del file."""
+        from pif_compiler.functions.excel_export import export_project_excel
+        return export_project_excel(self, output_path)
+
+
+# ==================== ORCHESTRATOR ====================
+
+def receive_order(raw_json: dict) -> Optional[int]:
+    """
+    Riceve un ordine dal front-end, lo salva su MongoDB e crea il record in PostgreSQL.
+    Ritorna id_ordine.
+    """
+    # 1. Salva il JSON grezzo su MongoDB collection 'orders'
+    collection = db_connect(collection_name='orders')
+    result = collection.insert_one(raw_json.copy())  # copy per evitare side-effects su _id
+    uuid_ordine = str(result.inserted_id)
+
+    logger.info(f"Ordine salvato su MongoDB: uuid_ordine={uuid_ordine}")
+
+    # 2. Crea il record nella tabella ordini (stato = RICEVUTO)
+    id_ordine = insert_ordine(uuid_ordine)
+    if id_ordine is None:
+        logger.error(f"Errore creazione record ordini per uuid={uuid_ordine}")
+        return None
+
+    logger.info(f"Ordine {id_ordine} creato in PostgreSQL (stato=RICEVUTO)")
+    return id_ordine
+
+
+def process_order_pipeline():
+    """
+    Pipeline di elaborazione ordine. Eseguita come background task.
+    1. Recupera il prossimo ordine pendente (più vecchio con stato RICEVUTO)
+    2. Valida anagrafica -> stato VALIDATO
+    3. Crea il Project -> stato COMPILAZIONE
+    4. Arricchisce gli ingredienti
+    5. Stato ARRICCHITO
+    6. Salva il progetto su MongoDB + PostgreSQL
+    """
+    order = None
+
+    try:
+        # 1. Recupera il prossimo ordine
+        order = Order.pick_next()
+        if order is None:
+            logger.warning("Pipeline: nessun ordine pendente da elaborare")
+            return
+
+        logger.info(f"Pipeline: inizio elaborazione ordine {order.id_ordine}")
+
+        # 2. Valida anagrafica -> VALIDATO
+        order.validate_anagrafica()
+
+        # 3. Crea il Project -> COMPILAZIONE
+        order.update_stato(StatoOrdine.COMPILAZIONE)
+        project = Project.from_order(order)
+        logger.info(f"Pipeline: progetto creato con {len(project.ingredients)} ingredienti")
+
+        # 4. Arricchisci gli ingredienti
+        project.process_ingredients()
+
+        # 5. Stato ARRICCHITO
+        order.update_stato(StatoOrdine.COMPLETATO)
+
+        # 6. Salva il progetto
+        uuid_progetto = project.save()
+        order.uuid_progetto = uuid_progetto
+
+        logger.info(f"Pipeline: ordine {order.id_ordine} completato (uuid_progetto={uuid_progetto})")
+
+    except Exception as e:
+        logger.error(f"Pipeline: errore elaborazione ordine: {e}", exc_info=True)
+        if order:
+            order.update_stato(StatoOrdine.ERRORE)
+            update_ordine_note(order.id_ordine, f"Errore pipeline: {str(e)}")
+
+
+def retry_order(id_ordine: int) -> bool:
+    """
+    Resetta un ordine in stato ERRORE a RICEVUTO per rielaborarlo.
+    Ritorna True se il reset è avvenuto, False altrimenti.
+    """
+    row = get_ordine_by_id(id_ordine)
+    if not row:
+        logger.warning(f"Retry: ordine {id_ordine} non trovato")
+        return False
+
+    stato_attuale = row[6]  # stato_ordine
+    if stato_attuale != StatoOrdine.ERRORE:
+        logger.warning(f"Retry: ordine {id_ordine} non è in stato ERRORE (stato={stato_attuale})")
+        return False
+
+    result = reset_ordine_per_retry(id_ordine)
+    if result:
+        logger.info(f"Retry: ordine {id_ordine} resettato a RICEVUTO")
+        return True
+
+    logger.error(f"Retry: errore nel reset dell'ordine {id_ordine}")
+    return False
+
+
+def trigger_pipeline():
+    """
+    Lancia manualmente una esecuzione della pipeline.
+    Processa il prossimo ordine pendente (più vecchio con stato RICEVUTO).
+    """
+    logger.info("Pipeline manuale: avvio")
+    process_order_pipeline()
+    logger.info("Pipeline manuale: completata")

src/pif_compiler/classes/models.py

@@ -4,18 +4,19 @@ from enum import IntEnum
 from typing import List, Optional
 from datetime import datetime as dt
 
+from pif_compiler.functions.common_log import get_logger
+
+logger = get_logger()
+
 class StatoOrdine(IntEnum):
     """Stati ordine per orchestrare il flusso di elaborazione PIF."""
     RICEVUTO = 1            # Input grezzo ricevuto, caricato su MongoDB
-    VALIDATO = 2            # Input validato (compilatore, cliente, tipo cosmetico ok)
+    VALIDATO = 2            # L'oggetto è stato creato (compilatore, cliente, tipo cosmetico ok)
-    ARRICCHIMENTO = 3       # Arricchimento in corso (COSING, PubChem, ECHA)
+    COMPILAZIONE = 3       # l'oggetto Progetto è stato creato ed è in fase di arricchimento
-    ARRICCHIMENTO_PARZIALE = 4  # Arricchimento completato ma con dati mancanti
+    ARRICCHITO = 5          # oggetto progetto è finalizzato
-    ARRICCHITO = 5          # Arricchimento completato con successo
     CALCOLO = 6             # Calcolo DAP, SED, MoS in corso
-    IN_REVISIONE = 7        # Calcoli completati, in attesa di revisione umana
     COMPLETATO = 8          # PIF finalizzato
-    ERRORE = 9              # Errore durante l'elaborazione
+    ERRORE = 9              # Errore durante l'elaborazione, intervento umano
-    ANNULLATO = 10          # Ordine annullato
 
 from pif_compiler.services.srv_echa import extract_levels, at_extractor, rdt_extractor, orchestrator
 from pif_compiler.functions.db_utils import postgres_connect, upsert_ingrediente, get_ingrediente_by_cas
@@ -96,21 +97,23 @@ class DapInfo(BaseModel):
                 try:
                     for item in dap_data[key]:
                         if '°C' in item['Value']:
-                            mp = dap_data[key]['Value']
+                            mp = item['Value']
                             mp_value = re.findall(r"[-+]?\d*\.\d+|\d+", mp)
                             if mp_value:
                                 dict['melting_point'] = float(mp_value[0])
-                except:
+                except Exception as e:
+                    logger.warning(f"DapInfo: parsing melting_point fallito per CAS={dict.get('cas', '?')}: {e}")
                     continue
             if key == 'Dissociation Constants':
                 try:
                     for item in dap_data[key]:
                         if 'pKa' in item['Value']:
-                            pk = dap_data[key]['Value']
+                            pk = item['Value']
                             pk_value = re.findall(r"[-+]?\d*\.\d+|\d+", pk)
                             if pk_value:
-                                dict['high_ionization'] = float(mp_value[0])
+                                dict['high_ionization'] = float(pk_value[0])
-                except:
+                except Exception as e:
+                    logger.warning(f"DapInfo: parsing dissociation fallito per CAS={dict.get('cas', '?')}: {e}")
                     continue
                 
         return cls(**dict)
@@ -122,11 +125,24 @@ class CosingInfo(BaseModel):
     annex : List[str] = Field(default_factory=list)
     functionName : List[str] = Field(default_factory=list)
     otherRestrictions : List[str] = Field(default_factory=list)
-    cosmeticRestriction : Optional[str]
+    cosmeticRestriction : Optional[str] = None
+    reference : Optional[str] = None
+    sccsOpinionUrls : List[str] = Field(default_factory=list)
     
     @classmethod
     def cosing_builder(cls, cosing_data : dict):
-        cosing_keys = ['nameOfCommonIngredientsGlossary', 'casNo', 'functionName', 'annexNo', 'refNo', 'otherRestrictions', 'cosmeticRestriction', 'inciName']
+        cosing_keys = [
+            'nameOfCommonIngredientsGlossary',
+            'casNo',
+            'functionName',
+            'annexNo',
+            'refNo',
+            'otherRestrictions',
+            'cosmeticRestriction',
+            'reference',
+            'inciName',
+            'sccsOpinionUrls'
+            ]
         keys = [k for k in cosing_data.keys() if k in cosing_keys]
         
         cosing_dict = {}
@@ -166,7 +182,14 @@ class CosingInfo(BaseModel):
                     other_restrictions.append(ores)
                 cosing_dict['otherRestrictions'] = other_restrictions
             if k == 'cosmeticRestriction':
-                cosing_dict['cosmeticRestriction'] = cosing_data[k]                
+                cosing_dict['cosmeticRestriction'] = cosing_data[k]  
+            if k == 'reference':
+                cosing_dict['reference'] = cosing_data[k]
+            if k == 'sccsOpinionUrls':
+                urls = []
+                for url in cosing_data[k]:
+                    urls.append(url)
+                cosing_dict['sccsOpinionUrls'] = urls              
         
         return cls(**cosing_dict)
     
@@ -184,11 +207,12 @@ class CosingInfo(BaseModel):
     
 class ToxIndicator(BaseModel):
     indicator : str
-    value : int
+    value : float
     unit : str
     route : str
     toxicity_type : Optional[str] = None
     ref : Optional[str] = None
+    source : Optional[str] = None
 
     @property
     def priority_rank(self):
@@ -230,21 +254,28 @@ class Toxicity(BaseModel):
 
         for tt in toxicity_types:
             if tt not in result:
+                logger.debug(f"Toxicity CAS={cas}: nessun dato per {tt}")
                 continue
-                
+
             try:
                 extractor = at_extractor if tt == 'acute_toxicity' else rdt_extractor
                 fetch = extract_levels(result[tt], extractor=extractor)
+
+                if not fetch:
+                    logger.warning(f"Toxicity CAS={cas}: {tt} presente ma nessun indicatore estratto")
+                    continue
                 
-                link = result.get(f"{tt}_link", "")
+                links = result.get("index")
+                link = links.get(f"{tt}_link", "")
 
                 for key, lvl in fetch.items():
-                    lvl['ref'] = link 
+                    lvl['ref'] = link
+                    lvl['source'] = tt
                     elem = ToxIndicator(**lvl)
                     indicators_list.append(elem)
-                    
+
             except Exception as e:
-                print(f"Errore durante l'estrazione di {tt}: {e}")
+                logger.error(f"Toxicity.from_result CAS={cas}: estrazione {tt} fallita: {e}")
                 continue
                 
         return cls(
@@ -262,17 +293,24 @@ class Ingredient(BaseModel):
     
     @classmethod
     def ingredient_builder(cls, cas: str, inci: Optional[List[str]] = None):
-        # Recupera dati DAP da PubChem
+        logger.info(f"ingredient_builder CAS={cas}: inizio scraping")
+
         dap_data = pubchem_dap(cas)
         dap_info = DapInfo.dap_builder(dap_data) if isinstance(dap_data, dict) else None
+        if not dap_info:
+            logger.warning(f"CAS={cas}: nessun dato DAP da PubChem")
 
-        # Recupera dati COSING
         cosing_data = cosing_entry(cas)
         cosing_info = CosingInfo.cycle_identified(cosing_data) if cosing_data else None
+        if not cosing_info:
+            logger.warning(f"CAS={cas}: nessun dato COSING")
 
-        # Recupera dati tossicologici da ECHA
         toxicity_data = orchestrator(cas)
         toxicity = Toxicity.from_result(cas, toxicity_data) if toxicity_data else None
+        if not toxicity or not toxicity.indicators:
+            logger.warning(f"CAS={cas}: nessun indicatore tossicologico trovato")
+
+        logger.info(f"CAS={cas}: scraping completato (dap={'OK' if dap_info else '-'}, cosing={'OK' if cosing_info else '-'}, tox={len(toxicity.indicators) if toxicity else 0} ind.)")
 
         return cls(
             cas=cas,
@@ -300,30 +338,31 @@ class Ingredient(BaseModel):
         from pif_compiler.functions.db_utils import db_connect
 
         collection = db_connect(collection_name='ingredients')
+        if collection is None:
+            logger.error(f"Ingredient.save CAS={self.cas}: connessione MongoDB fallita")
+            return None
+
         mongo_dict = self.to_mongo_dict()
 
-        # Upsert su MongoDB usando il CAS come chiave
         result = collection.replace_one(
             {"cas": self.cas},
             mongo_dict,
             upsert=True
         )
 
-        # Recupera l'ObjectId del documento (inserito o esistente)
         if result.upserted_id:
             mongo_id = str(result.upserted_id)
         else:
             doc = collection.find_one({"cas": self.cas}, {"_id": 1})
             mongo_id = str(doc["_id"])
 
-        # Segna i flag di arricchimento
         has_dap = self.dap_info is not None
         has_cosing = self.cosing_info is not None
         has_tox = self.toxicity is not None
 
-        # Upsert su PostgreSQL
         upsert_ingrediente(self.cas, mongo_id, dap=has_dap, cosing=has_cosing, tox=has_tox)
 
+        logger.debug(f"Ingredient.save CAS={self.cas}: mongo_id={mongo_id}")
         return mongo_id
 
     @classmethod
@@ -332,32 +371,39 @@ class Ingredient(BaseModel):
         from pif_compiler.functions.db_utils import db_connect
         from bson import ObjectId
 
-        # Cerca in PostgreSQL per ottenere il mongo_id
         pg_entry = get_ingrediente_by_cas(cas)
         if not pg_entry:
             return None
 
         _, _, mongo_id, _, _, _ = pg_entry
         if not mongo_id:
+            logger.warning(f"from_cas CAS={cas}: presente in PG ma mongo_id è NULL")
             return None
 
-        # Recupera il documento da MongoDB
         collection = db_connect(collection_name='ingredients')
         doc = collection.find_one({"_id": ObjectId(mongo_id)})
         if not doc:
+            logger.warning(f"from_cas CAS={cas}: mongo_id={mongo_id} non trovato in MongoDB")
             return None
 
         doc.pop("_id", None)
         return cls(**doc)
 
     @classmethod
-    def get_or_create(cls, cas: str, inci: Optional[List[str]] = None):
+    def get_or_create(cls, cas: str, inci: Optional[List[str]] = None, force: bool = False):
-        """Restituisce l'ingrediente dalla cache se esiste e non è vecchio, altrimenti lo ricrea."""
+        """Restituisce l'ingrediente dalla cache se esiste e non è vecchio, altrimenti lo ricrea.
-        cached = cls.from_cas(cas)
+        Se force=True, ignora la cache e riesegue lo scraping aggiornando il documento."""
-        if cached and not cached.is_old():
+        if not force:
-            return cached
+            cached = cls.from_cas(cas)
+            if cached and not cached.is_old():
+                logger.debug(f"get_or_create CAS={cas}: cache hit")
+                return cached
+
+            if cached:
+                logger.info(f"get_or_create CAS={cas}: cache scaduta, re-scraping")
+        else:
+            logger.info(f"get_or_create CAS={cas}: force refresh")
 
-        # Crea un nuovo ingrediente (scraping) e lo salva
         ingredient = cls.ingredient_builder(cas, inci=inci)
         ingredient.save()
         return ingredient
@@ -403,6 +449,15 @@ class Ingredient(BaseModel):
             for cosing in self.cosing_info:
                 restrictions.extend(cosing.annex)
         return restrictions
+
+    def add_tox_indicator(self, indicator: ToxIndicator):
+        """Aggiunge un indicatore tossicologico custom e ricalcola il best_case."""
+        if self.toxicity is None:
+            self.toxicity = Toxicity(cas=self.cas, indicators=[indicator])
+        else:
+            new_indicators = self.toxicity.indicators + [indicator]
+            self.toxicity = Toxicity(cas=self.cas, indicators=new_indicators)
+        self.save()
     
 class RetentionFactors:
     LEAVE_ON = 1.0
@@ -470,7 +525,7 @@ class Esposition(BaseModel):
                 conn.commit()
                 return result[0] if result else None
         except Exception as e:
-            print(f"Errore salvataggio: {e}")
+            logger.error(f"Esposition.save_to_postgres '{self.preset_name}': {e}")
             conn.rollback()
             return False
         finally:
@@ -501,7 +556,51 @@ class Esposition(BaseModel):
                     lista_oggetti.append(obj)
                 return lista_oggetti
         except Exception as e:
-            print(f"Errore: {e}")
+            logger.error(f"Esposition.get_presets: {e}")
             return []
+        finally:
+            conn.close()
+
+    @classmethod
+    def get_by_name(cls, preset_name: str):
+        """Recupera un preset di esposizione per nome."""
+        conn = postgres_connect()
+        try:
+            with conn.cursor() as cur:
+                cur.execute(
+                    """SELECT preset_name, tipo_prodotto, luogo_applicazione,
+                              esp_normali, esp_secondarie, esp_nano,
+                              sup_esposta, freq_applicazione, qta_giornaliera, ritenzione
+                       FROM tipi_prodotti WHERE preset_name = %s""",
+                    (preset_name,)
+                )
+                r = cur.fetchone()
+            if r:
+                return cls(
+                    preset_name=r[0], tipo_prodotto=r[1], luogo_applicazione=r[2],
+                    esp_normali=r[3], esp_secondarie=r[4], esp_nano=r[5],
+                    sup_esposta=r[6], freq_applicazione=r[7],
+                    qta_giornaliera=r[8], ritenzione=r[9]
+                )
+            return None
+        except Exception as e:
+            logger.error(f"Esposition.get_by_name '{preset_name}': {e}")
+            return None
+        finally:
+            conn.close()
+
+    @classmethod
+    def delete_by_name(cls, preset_name: str) -> bool:
+        conn = postgres_connect()
+        try:
+            with conn.cursor() as cur:
+                cur.execute("DELETE FROM tipi_prodotti WHERE preset_name = %s RETURNING id_preset;", (preset_name,))
+                result = cur.fetchone()
+                conn.commit()
+                return result is not None
+        except Exception as e:
+            logger.error(f"Esposition.delete_by_name '{preset_name}': {e}")
+            conn.rollback()
+            return False
         finally:
             conn.close()

src/pif_compiler/functions/common_func.py

@@ -1,7 +1,7 @@
 from playwright.async_api import async_playwright
 import os
-
+import zipfile
-from pymongo import MongoClient
+import requests
 
 from pif_compiler.functions.common_log import get_logger
 
@@ -95,5 +95,108 @@ async def generate_pdf(link: str, name: str):
         return False
 
 
+async def generate_project_source_pdfs(project, output_dir: str = "pdfs") -> list:
+    """
+    Genera i PDF delle fonti per ogni ingrediente di un progetto:
+    - Tossicologia: PDF del best_case (naming: CAS_source.pdf)
+    - COSING: PDF scaricato via API per ogni CosingInfo con reference (naming: CAS_cosing.pdf)
+
+    Args:
+        project: oggetto Project con ingredienti arricchiti
+        output_dir: directory di output per i PDF
+
+    Returns:
+        Lista dei percorsi dei PDF generati
+    """
+    os.makedirs(output_dir, exist_ok=True)
+    generated = []
+
+    for pi in project.ingredients:
+        if pi.skip_tox or not pi.cas or not pi.ingredient:
+            continue
+
+        ing = pi.ingredient
+
+        # --- Tox best_case PDF ---
+        best = ing.toxicity.best_case if ing.toxicity else None
+        if best and best.ref:
+            pdf_name = f"{pi.cas}_{best.source}" if best.source else pi.cas
+            log.info(f"Generazione PDF tox: {pdf_name} da {best.ref}")
+            success = await generate_pdf(best.ref, pdf_name)
+            if success:
+                generated.append(os.path.join(output_dir, f"{pdf_name}.pdf"))
+            else:
+                log.warning(f"PDF tox non generato per {pdf_name}")
+
+        # --- COSING PDF ---
+        if ing.cosing_info:
+            seen_refs = set()
+            for cosing in ing.cosing_info:
+                if not cosing.reference or cosing.reference in seen_refs:
+                    continue
+                seen_refs.add(cosing.reference)
+
+                pdf_name = f"{pi.cas}_cosing"
+                pdf_path = os.path.join(output_dir, f"{pdf_name}.pdf")
+
+                if os.path.exists(pdf_path):
+                    generated.append(pdf_path)
+                    continue
+
+                log.info(f"Download COSING PDF: {pdf_name} (ref={cosing.reference})")
+                content = cosing_download(cosing.reference)
+                if isinstance(content, bytes):
+                    with open(pdf_path, 'wb') as f:
+                        f.write(content)
+                    generated.append(pdf_path)
+                else:
+                    log.warning(f"COSING PDF non scaricato per {pdf_name}: {content}")
+
+    log.info(f"Generazione fonti completata: {len(generated)} PDF generati")
+    return generated
+
+def cosing_download(ref_no: str):
+    url = f'https://api.tech.ec.europa.eu/cosing20/1.0/api/cosmetics/{ref_no}/export-pdf'
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:147.0) Gecko/20100101 Firefox/147.0',
+        'Accept': 'application/json, text/plain, */*',
+        'Accept-Language': 'it-IT,it;q=0.9',
+        'Cache-Control': 'No-Cache',
+        'Origin': 'https://ec.europa.eu',
+        'Referer': 'https://ec.europa.eu/',
+        'Sec-Fetch-Dest': 'empty',
+        'Sec-Fetch-Mode': 'cors',
+        'Sec-Fetch-Site': 'same-site',
+    }
+    response = requests.get(url, headers=headers)
+    if response.status_code == 200:
+        return response.content
+    else:
+        return f"Error: {response.status_code} - {response.text}"
+
+def create_sources_zip(pdf_paths: list, zip_path: str) -> str:
+    """
+    Crea un archivio ZIP contenente i PDF delle fonti.
+
+    Args:
+        pdf_paths: lista dei percorsi dei PDF da includere
+        zip_path: percorso del file ZIP di output
+
+    Returns:
+        Percorso del file ZIP creato
+    """
+    zip_dir = os.path.dirname(zip_path)
+    if zip_dir:
+        os.makedirs(zip_dir, exist_ok=True)
+
+    with zipfile.ZipFile(zip_path, 'w', zipfile.ZIP_DEFLATED) as zf:
+        for path in pdf_paths:
+            if os.path.exists(path):
+                zf.write(path, os.path.basename(path))
+
+    log.info(f"ZIP creato: {zip_path} ({len(pdf_paths)} file)")
+    return zip_path
+
+
 
     

src/pif_compiler/functions/db_utils.py

@@ -157,6 +157,19 @@ def upsert_compilatore(nome_compilatore):
         logger.error(f"Errore upsert compilatore {nome_compilatore}: {e}")
         return None
 
+def get_all_clienti():
+    """Recupera tutti i clienti dalla tabella clienti."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute("SELECT id_cliente, nome_cliente FROM clienti ORDER BY nome_cliente")
+            results = cur.fetchall()
+        conn.close()
+        return results if results else []
+    except Exception as e:
+        logger.error(f"Errore recupero clienti: {e}")
+        return []
+
 def log_ricerche(cas, target, esito):
     try:
         conn = postgres_connect()
@@ -168,5 +181,259 @@ def log_ricerche(cas, target, esito):
         logger.error(f"Error: {e}")
     return
 
+def insert_ordine(uuid_ordine, id_cliente=None):
+    """Inserisce un nuovo ordine nella tabella ordini. Ritorna id_ordine."""
+    from datetime import datetime as dt
+    from pif_compiler.classes.models import StatoOrdine
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                """INSERT INTO ordini (uuid_ordine, id_cliente, data_ordine, stato_ordine)
+                   VALUES (%s, %s, %s, %s) RETURNING id_ordine;""",
+                (uuid_ordine, id_cliente, dt.now(), int(StatoOrdine.RICEVUTO))
+            )
+            result = cur.fetchone()
+            conn.commit()
+        conn.close()
+        return result[0] if result else None
+    except Exception as e:
+        logger.error(f"Errore inserimento ordine: {e}")
+        return None
+
+def get_oldest_pending_order():
+    """Recupera l'ordine più vecchio con stato_ordine = RICEVUTO (1)."""
+    from pif_compiler.classes.models import StatoOrdine
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                """SELECT id_ordine, id_cliente, id_compilatore, uuid_ordine,
+                          uuid_progetto, data_ordine, stato_ordine, note
+                   FROM ordini
+                   WHERE stato_ordine = %s
+                   ORDER BY data_ordine ASC
+                   LIMIT 1""",
+                (int(StatoOrdine.RICEVUTO),)
+            )
+            result = cur.fetchone()
+        conn.close()
+        return result
+    except Exception as e:
+        logger.error(f"Errore recupero ordine pendente: {e}")
+        return None
+
+def update_ordine_cliente(id_ordine, id_cliente):
+    """Aggiorna id_cliente sull'ordine."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                "UPDATE ordini SET id_cliente = %s WHERE id_ordine = %s",
+                (id_cliente, id_ordine)
+            )
+            conn.commit()
+        conn.close()
+    except Exception as e:
+        logger.error(f"Errore aggiornamento cliente ordine {id_ordine}: {e}")
+
+def update_ordine_progetto(id_ordine, uuid_progetto):
+    """Aggiorna uuid_progetto sull'ordine."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                "UPDATE ordini SET uuid_progetto = %s WHERE id_ordine = %s",
+                (uuid_progetto, id_ordine)
+            )
+            conn.commit()
+        conn.close()
+    except Exception as e:
+        logger.error(f"Errore aggiornamento progetto ordine {id_ordine}: {e}")
+
+def update_ordine_note(id_ordine, note):
+    """Aggiorna il campo note sull'ordine."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                "UPDATE ordini SET note = %s WHERE id_ordine = %s",
+                (note, id_ordine)
+            )
+            conn.commit()
+        conn.close()
+    except Exception as e:
+        logger.error(f"Errore aggiornamento note ordine {id_ordine}: {e}")
+
+def get_ordine_by_id(id_ordine):
+    """Recupera un ordine per id_ordine."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                """SELECT id_ordine, id_cliente, id_compilatore, uuid_ordine,
+                          uuid_progetto, data_ordine, stato_ordine, note
+                   FROM ordini WHERE id_ordine = %s""",
+                (id_ordine,)
+            )
+            result = cur.fetchone()
+        conn.close()
+        return result
+    except Exception as e:
+        logger.error(f"Errore recupero ordine {id_ordine}: {e}")
+        return None
+
+def reset_ordine_per_retry(id_ordine):
+    """Resetta un ordine in stato ERRORE a RICEVUTO, pulisce note e uuid_progetto."""
+    from pif_compiler.classes.models import StatoOrdine
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                """UPDATE ordini
+                   SET stato_ordine = %s, note = NULL, uuid_progetto = NULL
+                   WHERE id_ordine = %s AND stato_ordine = %s
+                   RETURNING id_ordine;""",
+                (int(StatoOrdine.RICEVUTO), id_ordine, int(StatoOrdine.ERRORE))
+            )
+            result = cur.fetchone()
+            conn.commit()
+        conn.close()
+        return result[0] if result else None
+    except Exception as e:
+        logger.error(f"Errore reset ordine {id_ordine}: {e}")
+        return None
+
+def get_preset_id_by_name(preset_name):
+    """Recupera l'id_preset dalla tabella tipi_prodotti per nome."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                "SELECT id_preset FROM tipi_prodotti WHERE preset_name = %s",
+                (preset_name,)
+            )
+            result = cur.fetchone()
+        conn.close()
+        return result[0] if result else None
+    except Exception as e:
+        logger.error(f"Errore recupero id preset '{preset_name}': {e}")
+        return None
+
+def insert_progetto(mongo_id, id_preset):
+    """Inserisce un nuovo progetto nella tabella progetti. Ritorna id."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                """INSERT INTO progetti (mongo_id, preset_tipo_prodotto)
+                   VALUES (%s, %s) RETURNING id;""",
+                (mongo_id, id_preset)
+            )
+            result = cur.fetchone()
+            conn.commit()
+        conn.close()
+        return result[0] if result else None
+    except Exception as e:
+        logger.error(f"Errore inserimento progetto: {e}")
+        return None
+
+def insert_ingredient_lineage(id_progetto, id_ingrediente):
+    """Inserisce la relazione progetto-ingrediente nella tabella ingredients_lineage."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute(
+                """INSERT INTO ingredients_lineage (id_progetto, id_ingrediente)
+                   VALUES (%s, %s);""",
+                (id_progetto, id_ingrediente)
+            )
+            conn.commit()
+        conn.close()
+    except Exception as e:
+        logger.error(f"Errore inserimento lineage progetto={id_progetto}, ingrediente={id_ingrediente}: {e}")
+
+def get_all_ordini():
+    """Recupera tutti gli ordini con JOIN a clienti, compilatori, stati_ordini."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute("""
+                SELECT o.id_ordine, o.uuid_ordine, o.uuid_progetto, o.data_ordine,
+                       o.stato_ordine, o.note, c.nome_cliente, comp.nome_compilatore, s.nome_stato
+                FROM ordini o
+                LEFT JOIN clienti c ON o.id_cliente = c.id_cliente
+                LEFT JOIN compilatori comp ON o.id_compilatore = comp.id_compilatore
+                LEFT JOIN stati_ordini s ON o.stato_ordine = s.id_stato
+                ORDER BY o.data_ordine DESC
+            """)
+            results = cur.fetchall()
+        conn.close()
+        return results if results else []
+    except Exception as e:
+        logger.error(f"Errore recupero ordini: {e}")
+        return []
+
+
+def delete_ordine(id_ordine):
+    """Elimina un ordine e dati correlati da PostgreSQL e MongoDB."""
+    try:
+        row = get_ordine_by_id(id_ordine)
+        if not row:
+            logger.warning(f"Ordine {id_ordine} non trovato per eliminazione")
+            return False
+
+        uuid_ordine = row[3]
+        uuid_progetto = row[4]
+
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            if uuid_progetto:
+                cur.execute("SELECT id FROM progetti WHERE mongo_id = %s", (uuid_progetto,))
+                prog_row = cur.fetchone()
+                if prog_row:
+                    cur.execute("DELETE FROM ingredients_lineage WHERE id_progetto = %s", (prog_row[0],))
+                    cur.execute("DELETE FROM progetti WHERE id = %s", (prog_row[0],))
+
+            cur.execute("DELETE FROM ordini WHERE id_ordine = %s", (id_ordine,))
+            conn.commit()
+        conn.close()
+
+        from bson import ObjectId
+        orders_col = db_connect(collection_name='orders')
+        if uuid_ordine:
+            try:
+                orders_col.delete_one({"_id": ObjectId(uuid_ordine)})
+            except Exception:
+                logger.warning(f"Documento MongoDB ordine non trovato: {uuid_ordine}")
+
+        if uuid_progetto:
+            projects_col = db_connect(collection_name='projects')
+            try:
+                projects_col.delete_one({"_id": ObjectId(uuid_progetto)})
+            except Exception:
+                logger.warning(f"Documento MongoDB progetto non trovato: {uuid_progetto}")
+
+        logger.info(f"Ordine {id_ordine} eliminato completamente")
+        return True
+    except Exception as e:
+        logger.error(f"Errore eliminazione ordine {id_ordine}: {e}")
+        return False
+
+
+def get_ingrediente_id_by_cas(cas):
+    """Recupera l'ID PostgreSQL di un ingrediente tramite CAS."""
+    try:
+        conn = postgres_connect()
+        with conn.cursor() as cur:
+            cur.execute("SELECT id FROM ingredienti WHERE cas = %s", (cas,))
+            result = cur.fetchone()
+        conn.close()
+        return result[0] if result else None
+    except Exception as e:
+        logger.error(f"Errore recupero id ingrediente {cas}: {e}")
+        return None
+
+
 if __name__ == "__main__":
     log_ricerche("123-45-6", "ECHA", True)

src/pif_compiler/functions/excel_export.py

@@ -0,0 +1,414 @@
+"""
+Esportazione Excel per progetti PIF.
+
+Genera un file Excel con 4 fogli:
+1. Anagrafica - Informazioni ordine e lista ingredienti
+2. Esposizione - Parametri di esposizione
+3. SED - Calcolo Systemic Exposure Dosage (senza DAP)
+4. MoS - Calcolo Margin of Safety (con DAP, indicatore tossicologico, restrizioni)
+"""
+
+import os
+from openpyxl import Workbook
+from openpyxl.styles import Font, Alignment, PatternFill, Border, Side, numbers
+from openpyxl.utils import get_column_letter
+
+from pif_compiler.functions.common_log import get_logger
+
+logger = get_logger()
+
+# ==================== STYLES ====================
+
+TITLE_FONT = Font(bold=True, size=14)
+LABEL_FONT = Font(bold=True, size=11)
+HEADER_FONT = Font(bold=True, color="FFFFFF", size=11)
+HEADER_FILL = PatternFill(start_color="4472C4", end_color="4472C4", fill_type="solid")
+LIGHT_FILL = PatternFill(start_color="D9E2F3", end_color="D9E2F3", fill_type="solid")
+WARNING_FILL = PatternFill(start_color="FFC7CE", end_color="FFC7CE", fill_type="solid")
+THIN_BORDER = Border(
+    left=Side(style='thin'),
+    right=Side(style='thin'),
+    top=Side(style='thin'),
+    bottom=Side(style='thin')
+)
+
+
+def _style_header_row(ws, row, num_cols):
+    """Applica stile alle celle header."""
+    for col in range(1, num_cols + 1):
+        cell = ws.cell(row=row, column=col)
+        cell.font = HEADER_FONT
+        cell.fill = HEADER_FILL
+        cell.alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
+        cell.border = THIN_BORDER
+
+
+def _apply_borders(ws, row, num_cols):
+    """Applica bordi a una riga."""
+    for col in range(1, num_cols + 1):
+        ws.cell(row=row, column=col).border = THIN_BORDER
+
+
+WRAP_ALIGNMENT = Alignment(vertical='top', wrap_text=True)
+WRAP_CENTER = Alignment(horizontal='center', vertical='top', wrap_text=True)
+
+
+def _set_column_widths(ws, widths):
+    """Imposta larghezze colonne fisse e applica wrap_text a tutte le celle con dati."""
+    for i, w in enumerate(widths, 1):
+        ws.column_dimensions[get_column_letter(i)].width = w
+    for row in ws.iter_rows(min_row=1, max_row=ws.max_row, max_col=len(widths)):
+        for cell in row:
+            if cell.alignment.horizontal == 'center':
+                cell.alignment = Alignment(horizontal='center', vertical='top', wrap_text=True)
+            else:
+                cell.alignment = WRAP_ALIGNMENT
+
+
+def _get_ingredient_name(pi):
+    """Restituisce il nome migliore per un ingrediente."""
+    if pi.inci:
+        return pi.inci
+    if pi.ingredient and pi.ingredient.inci:
+        return pi.ingredient.inci[0]
+    return pi.cas or ""
+
+
+def _get_cosing_restrictions(ingredient):
+    """Estrae le restrizioni COSING da un ingrediente."""
+    annex = []
+    other = []
+    if ingredient and ingredient.cosing_info:
+        for cosing in ingredient.cosing_info:
+            annex.extend(cosing.annex)
+            other.extend(cosing.otherRestrictions)
+    return "; ".join(annex), "; ".join(other)
+
+
+def _get_dap_info_text(ingredient):
+    """Formatta le informazioni DAP come testo leggibile."""
+    if not ingredient or not ingredient.dap_info:
+        return ""
+    d = ingredient.dap_info
+    parts = []
+    if d.molecular_weight is not None:
+        parts.append(f"Peso Molecolare: {d.molecular_weight} Da")
+    if d.log_pow is not None:
+        parts.append(f"LogP: {d.log_pow}")
+    if d.tpsa is not None:
+        parts.append(f"TPSA: {d.tpsa} A\u00b2")
+    if d.melting_point is not None:
+        parts.append(f"Punto di Fusione: {d.melting_point}\u00b0C")
+    if d.high_ionization is not None:
+        parts.append(f"pKa: {d.high_ionization}")
+    parts.append(f"DAP: {d.dap_value * 100:.0f}%")
+    return ", ".join(parts)
+
+
+# ==================== SHEET BUILDERS ====================
+
+def _build_anagrafica(wb, project):
+    """Sheet 1: Anagrafica e lista ingredienti."""
+    ws = wb.active
+    ws.title = "Anagrafica"
+
+    ws.merge_cells('A1:E1')
+    ws['A1'] = "INFORMAZIONI ORDINE"
+    ws['A1'].font = TITLE_FONT
+
+    info_rows = [
+        ("Cliente", project.client_name),
+        ("Nome Prodotto", project.product_name),
+        ("Preset Esposizione", project.esposition.preset_name),
+    ]
+    for i, (label, value) in enumerate(info_rows):
+        ws.cell(row=i + 3, column=1, value=label).font = LABEL_FONT
+        ws.cell(row=i + 3, column=2, value=value)
+
+    # Tabella ingredienti
+    tbl_row = 7
+    headers = [
+        "INCI",
+        "CAS",
+        "Percentuale (%)",
+        "Colorante",
+        "Escluso da Valutazione Tossicologica"
+    ]
+    for col, h in enumerate(headers, 1):
+        ws.cell(row=tbl_row, column=col, value=h)
+    _style_header_row(ws, tbl_row, len(headers))
+
+    for i, pi in enumerate(project.ingredients):
+        r = tbl_row + 1 + i
+        ws.cell(row=r, column=1, value=pi.inci or "")
+        ws.cell(row=r, column=2, value=pi.cas or "")
+        ws.cell(row=r, column=3, value=pi.percentage)
+        ws.cell(row=r, column=4, value="Si" if pi.is_colorante else "No")
+        ws.cell(row=r, column=5, value="Si" if pi.skip_tox else "No")
+        _apply_borders(ws, r, len(headers))
+
+    _set_column_widths(ws, [20, 14, 14, 12, 18])
+
+
+def _build_esposizione(wb, project):
+    """
+    Sheet 2: Parametri di esposizione.
+
+    Layout delle celle di riferimento (usate nelle formule SED/MoS):
+      B5  = Peso Corporeo Target (kg)
+      B12 = Quantita Giornaliera (g/giorno)
+      B13 = Fattore di Ritenzione
+    """
+    ws = wb.create_sheet("Esposizione")
+    esp = project.esposition
+
+    ws.merge_cells('A1:B1')
+    ws['A1'] = "PARAMETRI DI ESPOSIZIONE"
+    ws['A1'].font = TITLE_FONT
+
+    params = [
+        # label, value, row (starting from 3)
+        ("Tipo Prodotto", esp.tipo_prodotto),
+        ("Popolazione Target", esp.popolazione_target),
+        ("Peso Corporeo Target (kg)", esp.peso_target_kg),              # B5
+        ("Luogo di Applicazione", esp.luogo_applicazione),
+        ("Vie di Esposizione Normali", ", ".join(esp.esp_normali)),
+        ("Vie di Esposizione Secondarie", ", ".join(esp.esp_secondarie)),
+        ("Vie di Esposizione Nano", ", ".join(esp.esp_nano)),
+        ("Superficie Esposta (cm\u00b2)", esp.sup_esposta),
+        ("Frequenza di Applicazione (applicazioni/giorno)", esp.freq_applicazione),
+        ("Quantita Giornaliera (g/giorno)", esp.qta_giornaliera),       # B12
+        ("Fattore di Ritenzione", esp.ritenzione),                      # B13
+    ]
+
+    for i, (label, value) in enumerate(params):
+        row = i + 3
+        ws.cell(row=row, column=1, value=label).font = LABEL_FONT
+        ws.cell(row=row, column=2, value=value)
+
+    # Campi calcolati con formule Excel
+    ws.cell(row=15, column=1, value="Esposizione Calcolata (g/giorno)").font = LABEL_FONT
+    ws['B15'] = "=B12*B13"
+    ws['B15'].number_format = '0.0000'
+
+    ws.cell(row=16, column=1, value="Esposizione Relativa (mg/kg bw/giorno)").font = LABEL_FONT
+    ws['B16'] = "=B15*1000/B5"
+    ws['B16'].number_format = '0.0000'
+
+    ws.column_dimensions['A'].width = 50
+    ws.column_dimensions['B'].width = 25
+
+
+def _build_sed(wb, project):
+    """
+    Sheet 3: Calcolo SED senza DAP, con restrizioni COSING.
+
+    Formula SED (mg/kg bw/giorno):
+      = (percentuale / 100) * qta_giornaliera * ritenzione / peso_corporeo * 1000
+    In riferimenti Excel:
+      = (C{row}/100) * Esposizione!$B$12 * Esposizione!$B$13 / Esposizione!$B$5 * 1000
+    """
+    ws = wb.create_sheet("SED")
+
+    ws.merge_cells('A1:F1')
+    ws['A1'] = "CALCOLO SYSTEMIC EXPOSURE DOSAGE (SED)"
+    ws['A1'].font = TITLE_FONT
+
+    hdr = 3
+    headers = [
+        "Ingrediente",
+        "CAS",
+        "Percentuale (%)",
+        "Systemic Exposure Dosage - SED (mg/kg bw/giorno)",
+        "Restrizioni COSING (Annex)",
+        "Altre Restrizioni",
+    ]
+    for col, h in enumerate(headers, 1):
+        ws.cell(row=hdr, column=col, value=h)
+    _style_header_row(ws, hdr, len(headers))
+
+    for i, pi in enumerate(project.ingredients):
+        r = hdr + 1 + i
+        name = _get_ingredient_name(pi)
+
+        ws.cell(row=r, column=1, value=name)
+        ws.cell(row=r, column=2, value=pi.cas or "")
+        ws.cell(row=r, column=3, value=pi.percentage)
+
+        # SED formula solo per ingredienti non esclusi
+        if not pi.skip_tox and pi.cas:
+            ws.cell(row=r, column=4).value = (
+                f"=(C{r}/100)*Esposizione!$B$12*Esposizione!$B$13"
+                f"/Esposizione!$B$5*1000"
+            )
+            ws.cell(row=r, column=4).number_format = '0.000000'
+
+        # Restrizioni COSING
+        annex, other = _get_cosing_restrictions(pi.ingredient if not pi.skip_tox else None)
+        ws.cell(row=r, column=5, value=annex)
+        ws.cell(row=r, column=6, value=other)
+
+        # Evidenzia riga se ha restrizioni
+        if annex:
+            for col in range(1, len(headers) + 1):
+                ws.cell(row=r, column=col).fill = WARNING_FILL
+
+        _apply_borders(ws, r, len(headers))
+
+    _set_column_widths(ws, [18, 14, 14, 20, 18, 18])
+
+
+def _build_mos(wb, project):
+    """
+    Sheet 4: Calcolo Margin of Safety.
+
+    Formule Excel:
+      SED (col C)     = (B{r}/100) * Esposizione!$B$12 * Esposizione!$B$13 / Esposizione!$B$5 * 1000
+      SED con DAP (E) = C{r} * D{r}
+      MoS (I)         = G{r} / (E{r} * H{r})   [se E > 0 e H > 0]
+    """
+    ws = wb.create_sheet("MoS")
+
+    ws.merge_cells('A1:N1')
+    ws['A1'] = "CALCOLO MARGIN OF SAFETY (MoS)"
+    ws['A1'].font = TITLE_FONT
+
+    hdr = 3
+    headers = [
+        "Nome Ingrediente",                                             # A
+        "Percentuale (%)",                                              # B
+        "Systemic Exposure Dosage - SED (mg/kg bw/giorno)",             # C
+        "Dermal Absorption Percentage (DAP)",                           # D
+        "SED corretto con DAP (mg/kg bw/giorno)",                       # E
+        "Indicatore Tossicologico (NOAEL / LOAEL / LD50)",              # F
+        "Valore Indicatore (mg/kg bw/giorno)",                          # G
+        "Fattore di Sicurezza",                                         # H
+        "Margin of Safety (MoS)",                                       # I
+        "Fonte del Dato",                                               # J
+        "Informazioni DAP (Peso Molecolare, LogP, TPSA, Punto Fusione)",# K
+        "Restrizioni COSING (Annex)",                                   # L
+        "Altre Restrizioni",                                            # M
+        "Note",                                                         # N
+    ]
+    for col, h in enumerate(headers, 1):
+        ws.cell(row=hdr, column=col, value=h)
+    _style_header_row(ws, hdr, len(headers))
+
+    num_cols = len(headers)
+    r = hdr + 1
+
+    for pi in project.ingredients:
+        # Salta ingredienti esclusi (skip_tox o senza CAS)
+        if pi.skip_tox or not pi.cas:
+            continue
+
+        name = _get_ingredient_name(pi)
+        ing = pi.ingredient
+        best = ing.toxicity.best_case if ing and ing.toxicity else None
+
+        # A: Nome
+        ws.cell(row=r, column=1, value=name)
+
+        # B: Percentuale
+        ws.cell(row=r, column=2, value=pi.percentage)
+
+        # C: SED (senza DAP) - formula Excel
+        ws.cell(row=r, column=3).value = (
+            f"=(B{r}/100)*Esposizione!$B$12*Esposizione!$B$13"
+            f"/Esposizione!$B$5*1000"
+        )
+        ws.cell(row=r, column=3).number_format = '0.000000'
+
+        # D: DAP
+        dap_value = ing.dap_info.dap_value if ing and ing.dap_info else 0.5
+        ws.cell(row=r, column=4, value=dap_value)
+
+        # E: SED con DAP - formula Excel
+        ws.cell(row=r, column=5).value = f"=C{r}*D{r}"
+        ws.cell(row=r, column=5).number_format = '0.000000'
+
+        # F: Tipo indicatore
+        ws.cell(row=r, column=6, value=best.indicator if best else "")
+
+        # G: Valore indicatore
+        ws.cell(row=r, column=7, value=best.value if best else "")
+
+        # H: Fattore di sicurezza
+        factor = best.factor if best else 1
+        ws.cell(row=r, column=8, value=factor)
+
+        # I: MoS - formula Excel
+        ws.cell(row=r, column=9).value = (
+            f'=IF(AND(E{r}>0,H{r}>0),G{r}/(E{r}*H{r}),"")'
+        )
+        ws.cell(row=r, column=9).number_format = '0.00'
+
+        # J: Fonte
+        ws.cell(row=r, column=10, value=best.ref if best else "")
+
+        # K: Informazioni DAP
+        ws.cell(row=r, column=11, value=_get_dap_info_text(ing))
+
+        # L, M: Restrizioni
+        annex, other = _get_cosing_restrictions(ing)
+        ws.cell(row=r, column=12, value=annex)
+        ws.cell(row=r, column=13, value=other)
+
+        # N: Note (vuoto)
+        ws.cell(row=r, column=14, value="")
+
+        # Stile: bordi + evidenzia se MoS potrebbe essere basso
+        _apply_borders(ws, r, num_cols)
+
+        # Alterna colore righe per leggibilita
+        if (r - hdr) % 2 == 0:
+            for col in range(1, num_cols + 1):
+                ws.cell(row=r, column=col).fill = LIGHT_FILL
+
+        r += 1
+
+    # Legenda sotto la tabella
+    legend_row = r + 2
+    ws.cell(row=legend_row, column=1, value="LEGENDA").font = LABEL_FONT
+    ws.cell(row=legend_row + 1, column=1, value="Fattore di Sicurezza:")
+    ws.cell(row=legend_row + 1, column=2, value="NOAEL = 1, LOAEL = 3, LD50 = 10")
+    ws.cell(row=legend_row + 2, column=1, value="MoS accettabile:")
+    ws.cell(row=legend_row + 2, column=2, value=">= 100 (secondo linee guida SCCS)")
+    ws.cell(row=legend_row + 3, column=1, value="Formula MoS:")
+    ws.cell(row=legend_row + 3, column=2, value="Valore Indicatore / (SED con DAP x Fattore di Sicurezza)")
+
+    _set_column_widths(ws, [18, 10, 14, 8, 14, 12, 12, 10, 10, 18, 22, 18, 18, 14])
+
+
+# ==================== MAIN EXPORT ====================
+
+def export_project_excel(project, output_path: str = None) -> str:
+    """
+    Esporta un Project completo in un file Excel (.xlsx).
+
+    Args:
+        project: oggetto Project da esportare
+        output_path: percorso del file di output (default: exports/progetto_{order_id}.xlsx)
+
+    Returns:
+        Il percorso del file Excel generato.
+    """
+    if output_path is None:
+        os.makedirs("exports", exist_ok=True)
+        output_path = f"exports/progetto_{project.order_id}.xlsx"
+    else:
+        dir_name = os.path.dirname(output_path)
+        if dir_name:
+            os.makedirs(dir_name, exist_ok=True)
+
+    wb = Workbook()
+
+    _build_anagrafica(wb, project)
+    _build_esposizione(wb, project)
+    _build_sed(wb, project)
+    _build_mos(wb, project)
+
+    wb.save(output_path)
+    logger.info(f"Excel esportato: {output_path}")
+
+    return output_path

src/pif_compiler/main.py

@@ -8,7 +8,7 @@ import time
 from pif_compiler.functions.common_log import get_logger
 
 # Import dei tuoi router
-from pif_compiler.api.routes import api_echa, api_cosing, common, api_ingredients, api_esposition
+from pif_compiler.api.routes import api_echa, api_cosing, common, api_ingredients, api_esposition, api_orders
 
 # Configurazione logging
 logger = get_logger()
@@ -147,6 +147,12 @@ app.include_router(
     tags=["Esposition"]
 )
 
+app.include_router(
+    api_orders.router,
+    prefix="/api/v1",
+    tags=["Orders"]
+)
+
 # ==================== ROOT ENDPOINTS ====================
 
 @app.get("/", tags=["Root"])

src/pif_compiler/services/srv_cosing.py

@@ -81,13 +81,13 @@ def clean_cosing(json_data: dict, full: bool = True) -> dict:
     logger.info(f"Cleaning COSING data for: {substance_id}")
 
     string_cols = [
-        "itemType", "phEurName", "chemicalName", "innName", "substanceId", "cosmeticRestriction"
+        "itemType", "phEurName", "chemicalName", "innName", "substanceId", "cosmeticRestriction", "reference"
     ]
 
     list_cols = [
         "casNo", "ecNo", "functionName", "otherRestrictions", "refNo",
         "sccsOpinion", "sccsOpinionUrls", "identifiedIngredient", 
-        "annexNo", "otherRegulations", "nameOfCommonIngredientsGlossary", "inciName"
+        "annexNo", "otherRegulations", "nameOfCommonIngredientsGlossary", "inciName", "sccsOpinionUrls"
     ]
 
     base_url = "https://ec.europa.eu/growth/tools-databases/cosing/details/"

uv.lock

@@ -410,6 +410,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/30/79/4f544d73fcc0513b71296cb3ebb28a227d22e80dec27204977039b9fa875/duckdb-1.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:280fd663dacdd12bb3c3bf41f3e5b2e5b95e00b88120afabb8b8befa5f335c6f", size = 12336460, upload-time = "2025-10-07T10:37:12.154Z" },
 ]
 
+[[package]]
+name = "et-xmlfile"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059 },
+]
+
 [[package]]
 name = "fastapi"
 version = "0.121.2"
@@ -889,6 +898,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/06/b9/33bba5ff6fb679aa0b1f8a07e853f002a6b04b9394db3069a1270a7784ca/numpy-2.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:78c9f6560dc7e6b3990e32df7ea1a50bbd0e2a111e05209963f5ddcab7073b0b", size = 10545953, upload-time = "2025-09-09T15:58:40.576Z" },
 ]
 
+[[package]]
+name = "openpyxl"
+version = "3.1.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "et-xmlfile" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/3d/f9/88d94a75de065ea32619465d2f77b29a0469500e99012523b91cc4141cd1/openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050", size = 186464 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2", size = 250910 },
+]
+
 [[package]]
 name = "packaging"
 version = "25.0"
@@ -966,6 +987,7 @@ dependencies = [
     { name = "marimo" },
     { name = "markdown-to-json" },
     { name = "markdownify" },
+    { name = "openpyxl" },
     { name = "playwright" },
     { name = "psycopg2-binary" },
     { name = "pubchemprops" },
@@ -991,6 +1013,7 @@ requires-dist = [
     { name = "marimo", specifier = ">=0.16.5" },
     { name = "markdown-to-json", specifier = ">=2.1.2" },
     { name = "markdownify", specifier = ">=1.2.0" },
+    { name = "openpyxl", specifier = ">=3.1.0" },
     { name = "playwright", specifier = ">=1.55.0" },
     { name = "psycopg2-binary", specifier = ">=2.9.11" },
     { name = "pubchemprops", specifier = ">=0.1.1" },