feat: worker-driven discovery and validation tightening #1

Merged
username merged 24 commits from feature/worker-driven-discovery into master 2026-02-17 17:39:49 +00:00
Showing only changes of commit 96e6f06e0d - Show all commits

View File

@@ -0,0 +1,572 @@
# Design: Worker-Driven Discovery
## Status
**Proposal** -- Not yet implemented.
## Problem
The current architecture centralizes all proxy list fetching on the master
node (odin). Workers only test proxies handed to them. This creates several
issues:
1. **Single point of fetch** -- If odin can't reach a source (blocked IP,
transient failure), that source is dead for everyone.
2. **Bandwidth concentration** -- Odin fetches 40 proxy lists every cycle,
extracts proxies, deduplicates, and stores them before workers ever see
them.
3. **Wasted vantage points** -- Workers sit behind different Tor exits and
IPs, but never use that diversity for fetching.
4. **Tight coupling** -- Workers can't operate at all without the master's
claim queue. If odin restarts, all workers stall.
## Proposed Architecture
Move proxy list fetching to workers. Master becomes a coordinator and
aggregator rather than a fetcher.
```
Current: Proposed:
Master Master
Fetch URLs --------+ Manage URL database
Extract proxies | Score URLs from feedback
Store proxylist | Aggregate working proxies
Serve /api/work ---+-> Workers Serve /api/claim-urls ----> Workers
<- /api/results |
<- /api/report-urls ------+
<- /api/report-proxies ---+
```
### Role Changes
```
+--------+---------------------------+----------------------------------+
| Host | Current Role | New Role |
+--------+---------------------------+----------------------------------+
| odin | Fetch URLs | Maintain URL database |
| | Extract proxies | Score URLs from worker feedback |
| | Store proxylist | Aggregate reported proxies |
| | Distribute proxy batches | Distribute URL batches |
| | Collect test results | Collect URL + proxy reports |
+--------+---------------------------+----------------------------------+
| worker | Claim proxy batch | Claim URL batch |
| | Test each proxy | Fetch URL, extract proxies |
| | Report pass/fail | Test extracted proxies |
| | | Report URL health + proxy results|
+--------+---------------------------+----------------------------------+
```
## Data Flow
### Phase 1: URL Claiming
Worker requests a batch of URLs to process.
```
Worker Master
| |
| GET /api/claim-urls |
| ?key=...&count=5 |
|------------------------------>|
| | Select due URLs from uris table
| | Mark as claimed (in-memory)
| [{url, last_hash, proto_hint}, ...]
|<------------------------------|
```
**Claim response:**
```json
{
"worker_id": "abc123",
"urls": [
{
"url": "https://raw.githubusercontent.com/.../http.txt",
"last_hash": "a1b2c3d4...",
"proto_hint": "http",
"priority": 1
}
]
}
```
Fields:
- `last_hash` -- MD5 of last extracted proxy list. Worker can skip
extraction and report "unchanged" if hash matches, saving CPU.
- `proto_hint` -- Protocol inferred from URL path. Worker uses this for
extraction confidence scoring.
- `priority` -- Higher = fetch sooner. Based on URL score.
### Phase 2: Fetch and Extract
Worker fetches each URL through Tor, extracts proxies using the existing
`fetch.extract_proxies()` pipeline.
```
Worker
|
| For each claimed URL:
| 1. Fetch through Tor (fetch_contents)
| 2. Compute content hash (MD5)
| 3. If hash == last_hash: skip extraction, report unchanged
| 4. Else: extract_proxies() -> list of (addr, proto, confidence)
| 5. Queue extracted proxies for testing
|
```
### Phase 3: URL Feedback
Worker reports fetch results for each URL back to master.
```
Worker Master
| |
| POST /api/report-urls |
| {reports: [...]} |
|------------------------------>|
| | Update uris table:
| | check_time, error, stale_count,
| | retrievals, proxies_added,
| | content_hash, worker_scores
| {ok: true} |
|<------------------------------|
```
**URL report payload:**
```json
{
"reports": [
{
"url": "https://...",
"success": true,
"content_hash": "a1b2c3d4...",
"proxy_count": 1523,
"fetch_time_ms": 2340,
"changed": true,
"error": null
},
{
"url": "https://...",
"success": false,
"content_hash": null,
"proxy_count": 0,
"fetch_time_ms": 0,
"changed": false,
"error": "timeout"
}
]
}
```
### Phase 4: Proxy Testing and Reporting
Worker tests extracted proxies locally using the existing `TargetTestJob`
pipeline. **Only working proxies are reported to master.** Failed proxies
are discarded silently -- no point wasting bandwidth on negatives.
Workers are trusted. If a worker says a proxy works, master accepts it.
```
Worker Master
| |
| Test proxies locally |
| (same TargetTestJob flow) |
| Discard failures |
| |
| POST /api/report-proxies |
| {proxies: [...]} | (working only)
|------------------------------>|
| | Upsert into proxylist:
| | INSERT OR REPLACE
| | Set failed=0, update last_seen
| {ok: true} |
|<------------------------------|
```
**Proxy report payload (working only):**
```json
{
"proxies": [
{
"ip": "1.2.3.4",
"port": 8080,
"proto": "socks5",
"source_proto": "socks5",
"latency": 1.234,
"exit_ip": "5.6.7.8",
"anonymity": "elite",
"source_url": "https://..."
}
]
}
```
No `working` field needed -- everything in the report is working by
definition. The `source_url` links proxy provenance to the URL that
yielded it, enabling URL quality scoring.
### Complete Cycle
```
Worker main loop:
1. GET /api/claim-urls Claim batch of URLs
2. For each URL:
a. Fetch through Tor
b. Extract proxies (or skip if unchanged)
c. Test extracted proxies
3. POST /api/report-urls Report URL health
4. POST /api/report-proxies Report proxy results
5. POST /api/heartbeat Health check
6. Sleep, repeat
```
## Master-Side Changes
### URL Scheduling
Current `Leechered` threads fetch URLs on a timer based on error/stale
count. Replace with a scoring system that workers consume.
**URL score** (higher = fetch sooner):
```
score = base_score
+ freshness_bonus # High-frequency sources score higher
- error_penalty # Consecutive errors reduce score
- stale_penalty # Unchanged content reduces score
+ yield_bonus # URLs that produce many proxies score higher
+ quality_bonus # URLs whose proxies actually work score higher
```
Concrete formula:
```python
def url_score(url_row):
age = now - url_row.check_time
base = age / url_row.check_interval # 1.0 when due
# Yield: proxies found per fetch (rolling average)
yield_rate = url_row.proxies_added / max(url_row.retrievals, 1)
yield_bonus = min(yield_rate / 100.0, 1.0) # Cap at 1.0
# Quality: what % of extracted proxies actually worked
quality_bonus = url_row.working_ratio * 0.5 # 0.0 to 0.5
# Penalties
error_penalty = min(url_row.error * 0.3, 2.0)
stale_penalty = min(url_row.stale_count * 0.1, 1.0)
return base + yield_bonus + quality_bonus - error_penalty - stale_penalty
```
URLs with `score >= 1.0` are due for fetching. Claimed URLs are locked
in memory for `claim_timeout` seconds (existing pattern).
### New uris Columns
```sql
ALTER TABLE uris ADD COLUMN check_interval INT DEFAULT 3600;
ALTER TABLE uris ADD COLUMN working_ratio REAL DEFAULT 0.0;
ALTER TABLE uris ADD COLUMN avg_fetch_time INT DEFAULT 0;
ALTER TABLE uris ADD COLUMN last_worker TEXT;
ALTER TABLE uris ADD COLUMN yield_rate REAL DEFAULT 0.0;
```
- `check_interval` -- Adaptive: decreases for high-yield URLs, increases
for stale/erroring ones. Replaces the `checktime + error * perfail`
formula with a persisted value.
- `working_ratio` -- EMA of (working_proxies / total_proxies) from worker
feedback. URLs that yield dead proxies get deprioritized.
- `avg_fetch_time` -- EMA of fetch duration in ms. Helps identify slow
sources.
- `last_worker` -- Which worker last fetched this URL. Useful for
debugging, and to distribute URLs across workers evenly.
- `yield_rate` -- EMA of proxies extracted per fetch.
### Proxy Aggregation
Trust model: **workers are trusted.** If any worker reports a proxy as
working, master accepts it. Failed proxies are never reported -- workers
discard them locally.
```
Worker A reports: 1.2.3.4:8080 working, latency 1.2s
Worker B reports: 1.2.3.4:8080 working, latency 1.5s
Master action:
- INSERT OR REPLACE with latest report
- Update last_seen, latency EMA
- Set failed = 0
```
No consensus, no voting, no trust scoring. A proxy lives as long as at
least one worker keeps confirming it. It dies when nobody reports it for
`proxy_ttl` seconds.
New `proxylist` column:
```sql
ALTER TABLE proxylist ADD COLUMN last_seen INT DEFAULT 0;
```
- `last_seen` -- Unix timestamp of most recent "working" report. Proxies
not seen in N hours are expired by the master's periodic cleanup.
### Proxy Expiry
Working proxies that haven't been reported by any worker within
`proxy_ttl` (default: 4 hours) are marked stale and re-queued for
testing. After `proxy_ttl * 3` with no reports, they're marked failed.
```python
def expire_stale_proxies(db, proxy_ttl):
cutoff_stale = now - proxy_ttl
cutoff_dead = now - (proxy_ttl * 3)
# Mark stale proxies for retesting
db.execute('''
UPDATE proxylist SET failed = 1
WHERE failed = 0 AND last_seen < ? AND last_seen > 0
''', (cutoff_stale,))
# Kill proxies not seen in a long time
db.execute('''
UPDATE proxylist SET failed = -1
WHERE failed > 0 AND last_seen < ? AND last_seen > 0
''', (cutoff_dead,))
```
## Worker-Side Changes
### New Worker Loop
Replace the current claim-test-report loop with a two-phase loop:
```python
def worker_main_v2(config):
register()
verify_tor()
while True:
# Phase 1: Fetch URLs and extract proxies
urls = claim_urls(server, key, count=5)
url_reports = []
proxy_batch = []
for url_info in urls:
report, proxies = fetch_and_extract(url_info)
url_reports.append(report)
proxy_batch.extend(proxies)
report_urls(server, key, url_reports)
# Phase 2: Test extracted proxies, report working only
if proxy_batch:
working = test_proxies(proxy_batch)
if working:
report_proxies(server, key, working)
heartbeat(server, key)
sleep(1)
```
### fetch_and_extract()
New function that combines fetching + extraction on the worker side:
```python
def fetch_and_extract(url_info):
url = url_info['url']
last_hash = url_info.get('last_hash')
proto_hint = url_info.get('proto_hint')
start = time.time()
try:
content = fetch_contents(url, head=False, proxy=tor_proxy)
except Exception as e:
return {'url': url, 'success': False, 'error': str(e)}, []
elapsed = int((time.time() - start) * 1000)
content_hash = hashlib.md5(content).hexdigest()
if content_hash == last_hash:
return {
'url': url, 'success': True, 'content_hash': content_hash,
'proxy_count': 0, 'fetch_time_ms': elapsed,
'changed': False, 'error': None
}, []
proxies = extract_proxies(content, url)
return {
'url': url, 'success': True, 'content_hash': content_hash,
'proxy_count': len(proxies), 'fetch_time_ms': elapsed,
'changed': True, 'error': None
}, proxies
```
### Deduplication
Workers may extract the same proxies from different URLs. Local
deduplication before testing:
```python
seen = set()
unique = []
for addr, proto, confidence in proxy_batch:
if addr not in seen:
seen.add(addr)
unique.append((addr, proto, confidence))
proxy_batch = unique
```
### Proxy Testing
Reuse the existing `TargetTestJob` / `WorkerThread` pipeline. The only
change: proxies come from local extraction instead of master's claim
response. The test loop, result collection, and evaluation logic remain
identical.
## API Changes Summary
### New Endpoints
| Endpoint | Method | Purpose |
|----------|--------|---------|
| `/api/claim-urls` | GET | Worker claims batch of due URLs |
| `/api/report-urls` | POST | Worker reports URL fetch results |
| `/api/report-proxies` | POST | Worker reports proxy test results |
### Modified Endpoints
| Endpoint | Change |
|----------|--------|
| `/api/work` | Deprecated but kept for backward compatibility |
| `/api/results` | Deprecated but kept for backward compatibility |
### Unchanged Endpoints
| Endpoint | Reason |
|----------|--------|
| `/api/register` | Same registration flow |
| `/api/heartbeat` | Same health reporting |
| `/dashboard` | Still reads from same DB |
| `/proxies` | Still reads from proxylist |
## Schema Changes
### uris table additions
```sql
ALTER TABLE uris ADD COLUMN check_interval INT DEFAULT 3600;
ALTER TABLE uris ADD COLUMN working_ratio REAL DEFAULT 0.0;
ALTER TABLE uris ADD COLUMN avg_fetch_time INT DEFAULT 0;
ALTER TABLE uris ADD COLUMN last_worker TEXT;
ALTER TABLE uris ADD COLUMN yield_rate REAL DEFAULT 0.0;
```
### proxylist table additions
```sql
ALTER TABLE proxylist ADD COLUMN last_seen INT DEFAULT 0;
```
## Migration Strategy
### Phase 1: Add New Endpoints (non-breaking)
Add `/api/claim-urls`, `/api/report-urls`, `/api/report-proxies` to
`httpd.py`. Keep all existing endpoints working. Master still runs its
own `Leechered` threads.
Files: `httpd.py`, `dbs.py` (migrations)
### Phase 2: Worker V2 Mode
Add `--worker-v2` flag to `ppf.py`. When set, worker uses the new
URL-claiming loop instead of the proxy-claiming loop. Both modes coexist.
Old workers (`--worker`) continue working against `/api/work` and
`/api/results`. New workers (`--worker-v2`) use the new endpoints.
Files: `ppf.py`, `config.py`
### Phase 3: URL Scoring
Implement URL scoring in master based on worker feedback. Replace
`Leechered` timer-based scheduling with score-based scheduling. Master's
own fetching becomes a fallback for URLs no worker has claimed recently.
Files: `httpd.py`, `dbs.py`
### Phase 4: Remove Legacy
Once all workers run V2, remove `/api/work`, `/api/results`, and
master-side `Leechered` threads. Master no longer fetches proxy lists
directly.
Files: `ppf.py`, `httpd.py`
## Configuration
### New config.ini Options
```ini
[worker]
# V2 mode: worker fetches URLs instead of proxy batches
mode = v2 # v1 (legacy) or v2 (url-driven)
url_batch_size = 5 # URLs per claim cycle
max_proxies_per_cycle = 500 # Cap on proxies tested per cycle
fetch_timeout = 30 # Timeout for URL fetching (seconds)
[ppf]
# URL scoring weights
score_yield_weight = 1.0
score_quality_weight = 0.5
score_error_penalty = 0.3
score_stale_penalty = 0.1
# Proxy expiry
proxy_ttl = 14400 # Seconds before unseen proxy goes stale (4h)
proxy_ttl_dead = 43200 # Seconds before unseen proxy is killed (12h)
# Fallback: master fetches URLs not claimed by any worker
fallback_fetch = true
fallback_interval = 7200 # Seconds before master fetches unclaimed URL
```
## Risks and Mitigations
| Risk | Impact | Mitigation |
|------|--------|------------|
| Workers extract different proxy counts from same URL | Inconsistent proxy_count in reports | Use content_hash for dedup; only update yield_rate when hash changes |
| Tor exit blocks a source for one worker | Worker reports error for a working URL | Require 2+ consecutive errors before incrementing URL error count |
| Workers test same proxies redundantly | Wasted CPU | Master tracks which URLs are assigned to which workers; avoid assigning same URL to multiple workers in same cycle |
| Large proxy lists overwhelm worker memory | OOM on worker | Cap `max_proxies_per_cycle`; worker discards excess after dedup |
| Master restart loses claim state | Workers refetch recently-fetched URLs | Harmless -- just a redundant fetch. content_hash prevents duplicate work |
| `fetch.py` imports unavailable on worker image | ImportError | Verify worker Dockerfile includes fetch.py and dependencies |
## What Stays the Same
- `rocksock.py` -- No changes to proxy chain logic
- `connection_pool.py` -- Tor host selection unchanged
- `proxywatchd.py` core -- `TargetTestJob`, `WorkerThread`, `ProxyTestState`
remain identical. Only the job source changes.
- `fetch.py` -- Used on workers now, but the code itself doesn't change
- `httpd.py` dashboard/proxies -- Still reads from same `proxylist` table
- SQLite as storage -- No database engine change
## Open Questions
1. **Should workers share extracted proxy lists with each other?** Peer
exchange would reduce redundant fetching but adds protocol complexity.
Recommendation: no, keep it simple. Master deduplicates via
`INSERT OR REPLACE`.
2. **Should URL claiming be weighted by worker geography?** Some sources
may be accessible from certain Tor exits but not others.
Recommendation: defer. Let natural retries handle this; track
per-worker URL success rates for future optimization.
3. **What's the right `proxy_ttl`?** Too short and we churn proxies
needlessly. Too long and we serve stale data. Start with 4 hours,
tune based on observed proxy lifetime distribution.