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feat(v2): implement granular 0-3 star elite quality system

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Nubenetes Bot
2026-05-16 10:51:55 +02:00
parent 1f4130f2b1
commit 4fca9df686
2 changed files with 19 additions and 8 deletions
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15
src/v2_optimizer.py
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@@ -37,12 +37,15 @@ class V2VisionEngine:
"- KEEP >90% of technical resources.\n"
"PHASE 2: SOPHISTICATED SYNTHESIS & DATING\n"
"- Extract precise PUBLICATION YEAR: Look for dates in the URL, Twitter/X post dates, or text context. Return 'N/A' if truly unknown.\n"
"- Assign QUALITY level (1-3 stars).\n"
"- Assign QUALITY level (0-3 stars):\n"
" * 0 stars: Good technical resource (Baseline).\n"
" * 1 star (🌟): High-quality technical guide or tool.\n"
" * 2 stars (🌟🌟): Exceptional, enterprise-grade resource.\n"
" * 3 stars (🌟🌟🌟): Elite Gem (Must-read or Industry Standard).\n"
"- Assign a MATURITY TAG based on content type/status.\n"
"PHASE 3: MANDATORY DESCRIPTIONS (V1 PRIORITY)\n"
"- If 'Current Desc' is already provided and descriptive, DO NOT CHANGE IT.\n"
"- If 'Current Desc' is empty, too short, or non-descriptive, generate a professional 1-2 sentence summary.\n"
"- To generate the summary: Analyze the URL and title. If you recognize the technical resource, describe its core value proposition for a Cloud Architect in 2026.\n"
"- Style: Technical, neutral, and informative. Language: English only.\n"
)
self.cache = self._load_cache()
@@ -267,7 +270,7 @@ class V2VisionEngine:
item = batch[idx].copy()
eval_data = {
"year": str(res.get("year", "N/A")),
"stars": min(max(int(res.get("stars", 1)), 1), 3),
"stars": min(max(int(res.get("stars", 0)), 0), 3),
"is_video": res.get("is_video", False),
"tag": res.get("tag", "[ENTERPRISE-STABLE]"),
"ai_summary": res.get("summary", "")
@@ -294,7 +297,7 @@ class V2VisionEngine:
except:
for l in batch:
item = l.copy()
item["year"], item["stars"], item["is_video"] = "N/A", 1, "youtube" in l["url"]
item["year"], item["stars"], item["is_video"] = "N/A", 0, "youtube" in l["url"]
item["tag"] = self._calculate_tag(item)
refined.append(item)
await asyncio.sleep(0.3)
@@ -441,8 +444,8 @@ class V2VisionEngine:
for cat, links in content["categories"].items():
md += f"## {cat}\n"
for l in links:
year, stars_val = l.get("year", "N/A"), l.get("stars", 1)
stars = "🌟" * stars_val
year, stars_val = l.get("year", "N/A"), l.get("stars", 0)
stars = ("🌟" * stars_val) if stars_val > 0 else ""
tag = l.get("tag", "[ENTERPRISE-STABLE]")
# Determine color mapping for new tags

12
v2-docs/index.md
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@@ -19,8 +19,16 @@
[![Azure Terraformer](images/azure-terraformer.jpg){: style="width:7%"}](https://www.youtube.com/@azure-terraformer) [![Ned in the Cloud](images/nedinthecloud.jpg){: style="width:7%"}](https://www.youtube.com/@NedintheCloud) [![netbox](images/netboxlabs_logo.jpg){: style="width:7%"}](https://www.youtube.com/@NetBoxLabs) [![Tech with Helen](images/techwithhelen.jpg){: style="width:7%"}](https://www.youtube.com/@techwithhelen) [![bytebytego](images/bytebytego.jpg){: style="width:7%"}](https://www.youtube.com/@ByteByteGo) [![dotcsv](images/dotcsv.jpg){: style="width:7%"}](https://www.youtube.com/@DotCSV) [![midulive](images/midulive.jpg){: style="width:7%"}](https://www.youtube.com/@midulive)
</center>
## 🛡️ V2 Taxonomy & Maturity Tags
To maximize technical clarity, V2 resources are classified by maturity rather than subjective quality:
## 🛡️ V2 Taxonomy & Elite Quality Tiers
To provide maximum signal for Cloud Architects, V2 resources are classified by both maturity and technical impact:
### Impact Tiers (Stars)
- **(No stars)**: High-quality technical resource (Baseline for V2 Elite).
- **🌟**: Exceptional guide, tool, or deep dive with notable technical depth.
- **🌟🌟**: Enterprise-grade resource with high industry relevance and impact.
- **🌟🌟🌟**: Elite Gem. Must-read foundations or industry-defining standards.
### Maturity Tags
- <span class='md-tag md-tag--success'>[DE FACTO STANDARD]</span>: Foundational industry tools with massive adoption (>10k GitHub stars).
- <span class='md-tag md-tag--info'>[ENTERPRISE-STABLE]</span>: Production-ready tools actively maintained.