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feat(step-3.6): cloud provider integrations (Gmail, Outlook, Teams)

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- Add app/integrations/__init__.py: Fernet token encryption helpers,
  EmailMessage/ChatMessage dataclasses, get_provider() factory
- Add app/integrations/gmail.py: GmailClient with async fetch_messages(),
  token refresh, configurable label/sender/date filters
- Add app/integrations/ms_graph.py: MSGraphClient with fetch_emails()
  (Outlook) and fetch_messages() (Teams), MSAL token refresh, OData filters
- Update app/core/agent_runner.py: replace run_cloud_agent() stub with
  full 8-step implementation; extend _finalize_run() for cloud config type
- Update app/config/settings.py: add OAuth + Fernet encryption settings
- Update requirements.txt: google-api-python-client, google-auth-*,
  msal, cryptography
- Add tests/test_integrations.py: 47 tests covering all integration code
- Update tests/test_agent_runner.py: replace stub test with 7 real tests

All 76 new/updated tests pass.
This commit is contained in:
roberto
2026-03-05 18:05:07 +01:00
parent 24772f2b67
commit a775a2da18
11 changed files with 2063 additions and 35 deletions
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6
AI_REFACTOR_PLAN.md
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@@ -437,21 +437,21 @@ Cloud Agent:
- **Outcome:** Users configure AI prompts through guided conversation. Journey can refine an existing config when `agent_id` is provided. ✅
### Step 3.6 — Cloud provider integrations
- [ ] Create `app/integrations/gmail.py`:
- [x] Create `app/integrations/gmail.py`:
- `GmailClient`:
- `__init__(oauth_token)` — initializes Google API client
- `async fetch_messages(filter_config, since: datetime) -> list[EmailMessage]`
- `EmailMessage`: `{ id, subject, sender, body_text, date, labels }`
- Handles token refresh via Google OAuth2 refresh flow
- Respects `filter_config.labels`, `filter_config.date_range`, `filter_config.senders`
- [ ] Create `app/integrations/ms_graph.py`:
- [x] Create `app/integrations/ms_graph.py`:
- `MSGraphClient`:
- `__init__(oauth_token)` — initializes MS Graph client
- `async fetch_emails(filter_config, since: datetime) -> list[EmailMessage]` (Outlook)
- `async fetch_messages(filter_config, since: datetime) -> list[ChatMessage]` (Teams)
- `ChatMessage`: `{ id, content, sender, channel, date }`
- Handles token refresh via MSAL
- [ ] Create `app/integrations/__init__.py` — factory: `get_provider(provider_name) -> GmailClient | MSGraphClient`
- [x] Create `app/integrations/__init__.py` — factory: `get_provider(provider_name) -> GmailClient | MSGraphClient`
- **Dependencies:** `google-api-python-client`, `google-auth-oauthlib`, `msgraph-sdk`, `msal`
- **Files:** `app/integrations/gmail.py`, `app/integrations/ms_graph.py`, `app/integrations/__init__.py`
- **Outcome:** Backend can fetch emails/messages from Gmail, Outlook, and Teams.