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Opdatér dokumentation med tidsstempel-synk og hash-optimeringer

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- Opdaterer README.md med beskrivelse af Timestamp Sync, Hash Toggle og 30MB grænse
- Opdaterer GEMINI.md med tekniske specifikationer for QuickXorHash og biblioteks-fallback
- Tilføjer vejledning til de nye konfigurationsmuligheder i GUI'en
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Martin Tranberg
2026-03-29 19:25:28 +02:00
parent acede4a867
commit 367d31671d
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GEMINI.md
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@@ -13,26 +13,31 @@ A production-ready Python utility for robust synchronization of SharePoint Onlin
## Core Features (Production Ready)
1. **Resumable Downloads:** Implements HTTP `Range` headers to resume partially downloaded files, critical for multi-gigabyte assets.
2. **Reliability:** Includes a custom `retry_request` decorator for Exponential Backoff, handling throttling (429) and transient network errors.
3. **Concurrency:** Multi-threaded architecture (5 workers) for simultaneous scanning and downloading.
4. **Pagination:** Full support for OData pagination, ensuring complete folder traversal regardless of item count.
5. **Self-Healing Sessions:** Automatically detects and resolves 401 Unauthorized errors by refreshing both expiring Microsoft Graph Download URLs and MSAL Access Tokens mid-process.
6. **Logging & Audit:** Integrated Python `logging` to `sharepoint_download.log` and structured CSV reports for error auditing.
1. **Timestamp Synchronization:** Intelligent sync logic that compares SharePoint `lastModifiedDateTime` with local file `mtime`. Only downloads if the remote source is newer, significantly reducing sync time.
2. **Optimized Integrity Validation:** Implements the official Microsoft **QuickXorHash** (160-bit circular XOR). Includes a configurable threshold (default 30MB) and a global toggle to balance security and performance for large assets.
3. **Resumable Downloads:** Implements HTTP `Range` headers to resume partially downloaded files, critical for multi-gigabyte assets.
4. **Reliability:** Includes a custom `retry_request` decorator for Exponential Backoff, handling throttling (429) and transient network errors.
5. **Robust Library Discovery:** Automatic resolution of document library IDs with built-in fallbacks for localized names (e.g., "Delte dokumenter" to "Documents").
6. **Self-Healing Sessions:** Automatically detects and resolves 401 Unauthorized errors by refreshing both expiring Microsoft Graph Download URLs and MSAL Access Tokens mid-process.
7. **Concurrency:** Multi-threaded architecture (5 workers) for simultaneous scanning and downloading.
8. **Pagination:** Full support for OData pagination, ensuring complete folder traversal regardless of item count.
## Building and Running
### Setup
1. **Dependencies:** `pip install -r requirements.txt`
2. **Configuration:** Use `connection_info.template.txt` to create `connection_info.txt`.
2. **Configuration:** Settings are managed via `connection_info.txt` or the GUI.
* `ENABLE_HASH_VALIDATION`: (True/False)
* `HASH_THRESHOLD_MB`: (Size limit for hashing)
### Execution
`python download_sharepoint.py`
* **GUI:** `python sharepoint_gui.py`
* **CLI:** `python download_sharepoint.py`
## Development Conventions
* **Error Handling:** Always use the `safe_get` (retry-wrapped) method for Graph API calls. For item-specific operations, use `get_fresh_download_url` to handle token/URL expiry.
* **Authentication:** Use `get_headers(app, force_refresh=True)` when a 401 error is encountered from Graph API to ensure session continuity.
* **Thread Safety:** Use `report_lock` when updating the shared error list from worker threads.
* **Logging:** Prefer `logger.info()` or `logger.error()` over `print()` to ensure persistence in `sharepoint_download.log`.
* **Integrity:** Always verify file integrity using `size` and `quickXorHash` where available.
* **QuickXorHash:** When implementing/updating hashing, ensure the file length is XORed into the **last 64 bits** (bits 96-159) of the 160-bit state per MS spec.
* **Timezone Handling:** Always use UTC (ISO8601) when comparing timestamps with SharePoint to avoid daylight savings mismatches.
* **Error Handling:** Always use the `safe_get` (retry-wrapped) method for Graph API calls. For item-specific operations, use `get_fresh_download_url`.
* **Authentication:** Use `get_headers(app, force_refresh=True)` when a 401 error is encountered.
* **Logging:** Prefer `logger.info()` or `logger.error()` over `print()`.