Replace cursor.copy() with cursor.executemany() for more reliable
batch inserts in PostgreSQL. The COPY method has issues with format
and data encoding in psycopg3.
Changes:
- Use executemany() with parameterized INSERT statements
- Let psycopg handle parameter escaping and encoding
- Convert JSONB dicts to JSON strings automatically
- More compatible with various data types
This ensures that data is actually being inserted into PostgreSQL
during migration, fixing the issue where data wasn't appearing in
the database after migration completed.
Fixes: Data not being persisted in PostgreSQL during migration
- On successful execution (no exception): explicitly commit before closing
- On exception: explicitly rollback before closing
- Add try-except to handle commit/rollback failures gracefully
This ensures that all inserted data is committed to the database
when the context manager exits. Previously, commits were only done
per-batch in insert_batch(), but the final context exit wasn't
ensuring a final commit.
Fixes: Data not appearing in PostgreSQL after migration completes
- TABLE_CONFIGS now accepts both 'RAWDATACOR' and 'rawdatacor' as keys
- TABLE_CONFIGS now accepts both 'ELABDATADISP' and 'elabdatadisp' as keys
- Reuse same config dict for both cases to avoid duplication
This allows FullMigrator to work correctly when initialized with
uppercase table names from the CLI while DataTransformer works
with lowercase names.
Fixes: 'Unknown table: RAWDATACOR' error during migration
- Create rawdatacor_id_seq for auto-increment of id column
- Create elabdatadisp_id_seq for auto-increment of id_elab_data column
- Both sequences use DEFAULT nextval() to auto-generate IDs on insert
This replaces PRIMARY KEY functionality since PostgreSQL doesn't
support PRIMARY KEY on partitioned tables with expression-based ranges.
IDs are now auto-incremented without primary key constraint.
Tested: schema creation works correctly with sequences
PostgreSQL doesn't support PRIMARY KEY or UNIQUE constraints on
partitioned tables when using RANGE partitioning on expressions
(like EXTRACT(YEAR FROM event_date)).
Changed:
- RAWDATACOR: removed PRIMARY KEY (id, event_date) and UNIQUE constraint
- ELABDATADISP: removed PRIMARY KEY (id_elab_data, event_date) and UNIQUE constraint
- Tables now have no constraints except NOT NULL on required columns
This is a PostgreSQL limitation with partitioned tables.
Constraints can be added per-partition if needed, but for simplicity
we rely on application-level validation.
Fixes: 'vincolo PRIMARY KEY non supportato con una definizione di chiave di partizione'
- Fix ConfigDict model_config for Pydantic v2.12+ compatibility
- Add env_file and env_file_encoding to all config classes
- Each config class now properly loads from .env with correct prefix
Fixes: ValidationError when loading settings from .env file
CLI now works correctly with 'uv run python main.py'
