feat(ui): merge legacy platform checkboxes into unified platform selector

Remove the 6 separate legacy checkboxes (LinkedIn, Indeed, Glassdoor,
Remotive, WeWorkRemotely, Naukri) and combine everything into a single
"Job Platforms" grouped multiselect. Routing is preserved — those 6
platforms still go through their dedicated high-quality scrapers while
all 160+ other platforms go through EverJobsScraper.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

HISTORY.md

@@ -4,6 +4,18 @@ A running log of everything built, fixed, and changed. Most recent first.
 
 ---
 
+## 2026-06-13 — Unified Platform Selector + ATS + HTML Rendering Fixes
+
+### Changes
+- **Unified platform selector**: Merged the 6 legacy checkboxes ("🌐 Job Platforms") and the grouped ever-jobs selector ("🌐 ever-jobs Platforms") into a single "🌐 Job Platforms" section. One place to search all 170 platforms. Selecting LinkedIn/Indeed/Glassdoor/Remotive/WeWorkRemotely/Naukri still routes to their dedicated high-quality scrapers; everything else goes through EverJobsScraper.
+- **ATS min_score default**: Changed slider default from 6 to 1 — LLM resumes now generated for ALL jobs regardless of score.
+- **HTML rendering fix**: Switched all 5 `st.markdown(..., unsafe_allow_html=True)` calls to `st.html()` — fixes raw `<span>`/`<a>` tags showing as plain text in job cards (Streamlit 1.45+ regression).
+
+### Modified Files
+- `ui.py` — removed 6 legacy checkboxes, renamed section label, updated platforms_cfg, updated pipeline routing to use unified `all_platforms` key
+
+---
+
 ## 2026-06-13 — Phase 1: ever-jobs Integration (160+ Platforms)
 
 ### New Features

README.md

@@ -92,7 +92,7 @@ The pipeline calls `ensure_running()` automatically before any ever-jobs platfor
 
 ### Platform Selection
 
-The UI groups 160+ platforms into three categories accessible via the "ever-jobs Platforms (160+)" section:
+The UI has a single **"🌐 Job Platforms"** section with three groups. Selecting LinkedIn, Indeed, Glassdoor, Remotive, WeWorkRemotely, or Naukri uses their dedicated high-quality scrapers; all other platforms go through the ever-jobs REST API.
 
 | Group | Count | Description |
 |-------|-------|-------------|

ui.py

@@ -489,23 +489,8 @@ with st.expander("⚙️ Configure Run", expanded=not (st.session_state.running
 
     st.divider()
 
-    # ── Row 3: Platforms ──
+    # ── Row 3: Unified platform selector ──
     st.markdown('<p class="section-label">🌐 Job Platforms</p>', unsafe_allow_html=True)
-    pc1, pc2, pc3, pc4, pc5, pc6 = st.columns(6)
-    use_linkedin      = pc1.checkbox("🔵 LinkedIn",        value=True)
-    use_indeed        = pc2.checkbox("🟠 Indeed",          value=True)
-    use_glassdoor     = pc3.checkbox("🟢 Glassdoor",       value=True)
-    use_remotive      = pc4.checkbox("🌍 Remotive",        value=True,
-                                     help="Remote/WFH PM jobs globally")
-    use_wwr           = pc5.checkbox("💻 WeWorkRemotely",  value=False,
-                                     help="Remote jobs, worldwide")
-    use_naukri        = pc6.checkbox("🇮🇳 Naukri",         value=False,
-                                     help="Often blocked by Akamai anti-bot")
-
-    st.divider()
-
-    # ── Row 3b: ever-jobs platform selector ──
-    st.markdown('<p class="section-label">🌐 ever-jobs Platforms (160+)</p>', unsafe_allow_html=True)
     from src.ever_jobs_bridge.platforms import PLATFORM_GROUPS, INDIA_DEFAULT_PLATFORMS, EVER_JOBS_PLATFORMS
 
     ej_col1, ej_col2, ej_col3 = st.columns(3)
@@ -560,7 +545,7 @@ with st.expander("⚙️ Configure Run", expanded=not (st.session_state.running
             icon="⚠️",
         )
     elif use_ever_jobs:
-        st.caption(f"✓ {len(ever_jobs_platforms)} ever-jobs platform(s) selected")
+        st.caption(f"✓ {len(ever_jobs_platforms)} platform(s) selected")
 
     st.divider()
 
@@ -623,10 +608,7 @@ if start and not st.session_state.running:
                                             for s in PIPELINE_STEPS}
 
         platforms_cfg = {
-            "linkedin": use_linkedin, "indeed": use_indeed,
-            "glassdoor": use_glassdoor, "naukri": use_naukri,
-            "remotive": use_remotive, "weworkremotely": use_wwr,
-            "ever_jobs_platforms": ever_jobs_platforms,
+            "all_platforms": ever_jobs_platforms,
         }
         job_search_cfg = {
             "roles": roles, "locations": locations,
@@ -741,45 +723,48 @@ if start and not st.session_state.running:
                 seen_tc:     set  = set()
                 skipped_dup: int  = 0
 
-                scraper_map = {}
-                if _platforms.get("linkedin"):
+                _all_plats   = set(_platforms.get("all_platforms", []))
+                _legacy_keys = {"linkedin", "indeed", "glassdoor", "remotive", "weworkremotely", "naukri"}
+                scraper_map  = {}
+
+                if "linkedin" in _all_plats:
                     from src.scrapers.linkedin import LinkedInScraper
                     scraper_map["linkedin"] = ("LinkedIn", LinkedInScraper())
                 else:
                     _step_skip("linkedin")
 
-                if _platforms.get("indeed"):
+                if "indeed" in _all_plats:
                     from src.scrapers.indeed import IndeedScraper
                     scraper_map["indeed"] = ("Indeed", IndeedScraper())
                 else:
                     _step_skip("indeed")
 
-                if _platforms.get("glassdoor"):
+                if "glassdoor" in _all_plats:
                     from src.scrapers.glassdoor import GlassdoorScraper
                     scraper_map["glassdoor"] = ("Glassdoor", GlassdoorScraper())
                 else:
                     _step_skip("glassdoor")
 
-                if _platforms.get("remotive"):
+                if "remotive" in _all_plats:
                     from src.scrapers.remotive import RemotiveScraper
                     scraper_map["remotive"] = ("Remotive", RemotiveScraper())
                 else:
                     _step_skip("remotive")
 
-                if _platforms.get("weworkremotely"):
+                if "weworkremotely" in _all_plats:
                     from src.scrapers.weworkremotely import WeWorkRemotelyScraper
                     scraper_map["weworkremotely"] = ("WeWorkRemotely", WeWorkRemotelyScraper())
                 else:
                     _step_skip("weworkremotely")
 
-                if _platforms.get("naukri"):
+                if "naukri" in _all_plats:
                     from src.scrapers.naukri import NaukriScraper
                     scraper_map["naukri"] = ("Naukri", NaukriScraper())
                 else:
                     _step_skip("naukri")
 
-                # ── ever-jobs (160+ platforms) ──
-                _ej_platforms = _platforms.get("ever_jobs_platforms", [])
+                # All non-legacy platforms (150+) → EverJobsScraper
+                _ej_platforms = [p for p in _all_plats if p not in _legacy_keys]
                 if _ej_platforms:
                     from src.scrapers.ever_jobs import EverJobsScraper
                     scraper_map["ever_jobs"] = ("EverJobs", EverJobsScraper(_ej_platforms))
@@ -953,7 +938,7 @@ if start and not st.session_state.running:
                     save_run(assessed_jobs, {
                         "run_id":     run_id,
                         "excel_path": excel_path,
-                        "platforms":  [p for p, on in _platforms.items() if on],
+                        "platforms": list(_platforms.get("all_platforms", [])),
                         "roles":      _jscfg.get("roles", []),
                     })
                     _q_log("✅ Run saved to history")