Adds GET /api/graph/project/<id>/download/source, GET /api/simulation/<id>/download/report,
and GET /api/simulation/<id>/download/log with corresponding tests (5/5 passing).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add _get_project_files classmethod that queries ProjectFileModel for
file_type=="upload" records, and wire it into _to_dict replacing the
hardcoded empty list.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add nobrl,cache=strict,nosharesock,actimeo=30 mount options to the
Azure Files volume so SQLite can use byte-range locking correctly over
SMB (without nobrl, Reddit DB creation fails with 'database is locked')
- Fix _execute_neo4j_query to pass parameters as params= keyword arg
(was parameters_= which the installed neo4j driver does not accept),
restoring per-simulation graph isolation via clone_graph
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- ProjectManager._to_dict now scans simulation state files to find
last_simulation_id and last_report_id for each project
- HistoryDatabase: report button enabled when last_report_id or
last_simulation_id available; goToReport looks up report by
simulation ID if no direct report_id; report status icon reflects
availability
- Add getReportBySimulation() to frontend report API
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Step 02/03 UX:
- Remove duplicate simulation params (total_hours, minutes_per_round) from Fase B form
- Add following_probability + recsys_type to step 03 config panel instead
- Step 03 now read-only by default with Edit / Save toolbar toggle
- Add common.edit and log.configSaved i18n keys to all 4 locales
Backend - Azure OpenAI fix (run_parallel_simulation.py):
- create_model() now detects Azure URLs (cognitiveservices.azure.com / openai.azure.com)
and uses ModelPlatformType.AZURE with AzureOpenAIModel, passing api_version and
azure_deployment_name explicitly — fixes 404 "Resource not found" from camel-ai
Backend - offline report interviews (simulation_runner.py):
- interview_agents_batch() falls back to _offline_batch_interview() when OASIS env is
closed (simulation finished), reading posts from SQLite DB instead of failing with
"No successful interviews / check OASIS environment status"
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements Tasks 8 and 9 of F2-A+B: async agent creation from entity UUID
and async per-agent profile regeneration, both with atomic profile file writes.
Refactors generate_profile_from_entity to accept extra_instructions instead
of requiring user_id (renamed internal logic to _generate_single_profile).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements SimulationManager.clone_simulation() and the corresponding
Flask route. The clone copies reddit_profiles.json, twitter_profiles.csv
and agent_profiles.json from the source simulation; does not copy
simulation_config.json; sets status=PROFILES_READY and records
parent_simulation_id. All 3 tests in test_simulation_clone.py pass.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements atomic agent profile editing with manually_edited flag.
Blocks edits when simulation is running or completed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Convert all project.attribute accesses to project["key"]/project.get("key"),
use save_project({...}) dict calls, and wire save_graph_record/complete_graph_record
helpers for proper graph persistence.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace .to_dict() calls and attribute access with direct dict usage,
add get_storage() import for delete_project, and rewrite reset_project
to use save_project() with a partial dict instead of mutating an ORM object.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove unused `import io`
- Avoid double-encoding in save_extracted_text by caching encoded bytes
- Delegate _to_dict queries to get_ontology/get_latest_graph_external_id
- Add comment to save_ontology noting full versioning is planned for F2-3
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add `from ..config import Config` import
- Convert `_to_dict` from @staticmethod to @classmethod; it now opens a
fresh session to populate `ontology` and `graph_id` from OntologyModel
and GraphModel respectively
- Use `db.expunge(proj)` before closing sessions in create_project,
get_project and list_projects so `_to_dict` can open its own session
without nesting conflicts (SQLite StaticPool safe)
- Add five new classmethods: save_ontology, get_ontology,
save_graph_record, get_latest_graph_external_id, complete_graph_record
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Replace conftest.py with two autouse fixtures: reset_graph_factory_singleton
and reset_task_manager_singleton, plus in_memory_db fixture for tests
requiring a real DB
- Rewrite test_project_task_recovery.py to use ProjectManager + SQLite in-memory
DB instead of the removed Project dataclass (same guarantee: active_task_id
persists and defaults to None)
- Fix db.py init_db() to import db_models before Base.metadata.create_all() so
all ORM tables are registered and created on first startup
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace file-based JSON persistence with SQLAlchemy DB (ProjectModel/ProjectFileModel)
and StorageService for file content; remove Project dataclass; add 7 passing tests.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace in-memory dict-based TaskManager with a SQLAlchemy-backed implementation
using TaskModel. Tasks now survive process restarts. 6 new tests added and passing.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Initializes the database (via init_db) and registers the StorageService
instance in app.extensions['storage'] inside create_app(). Adds get_storage()
helper for convenient access from any Flask context.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds ?format=md|pdf query param to GET /api/report/<id>/download.
PDF is generated from Markdown via fitz.Story (PyMuPDF). Also fixes
create_app() to support dict config and skip JWT auth in TESTING mode.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Extract parse_azure_url from graphiti_backend into utils/llm_client so all
services (oasis_profile_generator, simulation_config_generator, graphiti_backend,
LLMClient) strip the /chat/completions suffix and api-version before passing
base_url to the OpenAI SDK, fixing 404 errors when the full Azure endpoint URL
is set in LLM_BASE_URL.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The previous fix applied _flatten_attributes too broadly, breaking graphiti's
internal ExtractedEntities validation (lists were converted to strings).
Instead, monkey-patch only _extract_entity_attributes — the exact function
that returns entity attribute dicts to node.attributes before Neo4j write.
Lists of primitives are preserved; only dict-valued attributes are flattened.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Graphiti's attribute extraction LLM sometimes returns values wrapped in
nested dicts ({"value": "CTTI"}) instead of plain strings. Neo4j rejects
these with TypeError: "Property values can only be of primitive types".
Fix: after _AzureGenericClient gets the LLM response, validate it through
the Pydantic response_model and call _flatten_attributes() so every value
reaching Neo4j is a scalar. Also add _flatten_attributes() helper.
UI: exclude 'summary' from the Properties section of the node detail panel
since it already appears in the dedicated Summary section below.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Revert default limits back to 10 edges and 12 entities (10 specific + 2
fallback), matching Zep Cloud's maximum. Expose ONTOLOGY_MAX_ENTITY_TYPES
and ONTOLOGY_MAX_EDGE_TYPES in Config so operators can override without
touching code. Prompts now inject the live values at request time.
Also replace Chinese comments in .env.example with English equivalents.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Ubuntu