docs: mark priority queue complete

TODO.md

@@ -74,44 +74,16 @@ to fetch.py. Updated ppf.py to use these functions instead of local cache.
 
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-### [ ] 9. Priority Queue for Proxy Testing
+### [x] 9. Priority Queue for Proxy Testing
 
-**Problem:** All proxies tested with equal priority. Should prioritize:
+**Completed.** Added priority-based job scheduling for proxy tests.
-- Recently successful proxies (verify still working)
+- PriorityJobQueue class with heap-based ordering
-- New proxies (determine if usable)
+- calculate_priority() assigns priority 0-4 based on proxy state
-- Low fail-count proxies
+- Priority 0: New proxies (never tested)
-
+- Priority 1: Working proxies (no failures)
-**Implementation:**
+- Priority 2: Low fail count (< 3)
-```python
+- Priority 3-4: Medium/high fail count
-# proxywatchd.py
+- Integrated into prepare_jobs() for automatic prioritization
-import heapq
-
-class PriorityJobQueue:
-    """Priority queue wrapper for proxy test jobs."""
-    def __init__(self):
-        self.heap = []
-        self.lock = threading.Lock()
-
-    def put(self, job, priority):
-        """Lower priority number = higher priority."""
-        with self.lock:
-            heapq.heappush(self.heap, (priority, id(job), job))
-
-    def get(self, timeout=None):
-        """Get highest priority job."""
-        # ... implementation with timeout
-```
-
-Priority calculation:
-- New proxy (retrievals=0): priority 0
-- Recent success (last_success < 1hr): priority 1
-- Low fail count (failed < 3): priority 2
-- Medium fail count: priority 3
-- High fail count: priority 4
-
-**Files:** proxywatchd.py
-**Effort:** Medium
-**Risk:** Medium
 
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