"""TiDB brand constants + platform dimensions.

Source of truth for colors, fonts, logo, and per-platform canvas sizes.
All paths are resolved relative to this file so the pipeline is portable.
"""
from pathlib import Path

ROOT = Path(__file__).resolve().parent

# ── Brand colors (from TiDB brand guidelines, matched to proven WOM composites) ──
RED       = (220, 21, 11)
TEAL      = (80, 189, 185)
TEAL_DARK = (15, 83, 83)
ORANGE    = (230, 120, 20)
WHITE     = (255, 255, 255)

COLORS = {
    "RED": RED,
    "TEAL": TEAL,
    "TEAL_DARK": TEAL_DARK,
    "ORANGE": ORANGE,
    "WHITE": WHITE,
}

# ── Font paths (DM Sans — TiDB brand font, referenced in brand guidelines) ──
FONT_DIR    = ROOT / "fonts"
FONT_BOLD   = FONT_DIR / "DMSans-Bold.ttf"
FONT_MEDIUM = FONT_DIR / "DMSans-Medium.ttf"
FONT_REG    = FONT_DIR / "DMSans-Regular.ttf"

# ── Logo path (from TiDB brand guidelines logo zip, white-on-dark variant) ──
LOGO_PATH = ROOT / "assets" / "tidb-logo.png"

# ── Per-platform canvas dimensions (matches platform-recomposite.py proven flow) ──
# None = no image for this platform (hn/reddit/github are text-only by convention).
PLATFORMS = {
    "linkedin":  (1200, 627),
    "twitter":          (1280, 720),   # landscape 16:9 (default)
    "twitter-square":   (1080, 1080),  # square 1:1 (ads, carousel, engagement)
    "youtube":   (1280, 720),
    "discord":   (1280, 720),   # matches YouTube; renders well in embed previews
    "blog":      (1200, 630),   # OG standard 1.91:1
    "generic":   (1200, 630),
    "facebook":  (1200, 630),   # OG standard; also works as 1080x1080 for feed
    "email":     (600,  200),
    "hn":        None,
    "reddit":    None,
    "github":    None,
    "google-ads": None,         # externally managed in Google Ads
}

# ── Per-platform copywriting constraints ──
# Used by ideation-skill and post-processor validation.
# text_limit: hard char cap for post body / caption
# optimal_text: recommended length for engagement
# title_limit: hard cap for title/headline (where applicable)
# emoji: "none" | "minimal" (1-2) | "moderate" (2-4) | "heavy" (3-8)
# hashtags: recommended count; 0 = hashtags not used or harmful
PLATFORM_COPY_RULES = {
    "linkedin": {
        "text_limit":    3000,
        "optimal_text":  (1200, 1500),
        "title_limit":   None,
        "emoji":         "moderate",   # 2-4 as bullet markers or section headers
        "emoji_count":   (2, 4),
        "hashtags":      (3, 5),
        "tone":          "professional but human; personal stories beat corporate messaging",
    },
    "twitter": {
        "text_limit":    280,
        "optimal_text":  (71, 100),
        "title_limit":   None,
        "emoji":         "minimal",    # 1-2 at end or as separators
        "emoji_count":   (1, 2),
        "hashtags":      (1, 2),       # final tweet only in threads
        "tone":          "concise, punchy, data-anchored; threads 4-8 tweets",
        "image_formats": {"landscape": (1280, 720), "square": (1080, 1080), "portrait": (1080, 1350)},
    },
    "twitter-square": {
        "text_limit":    280,
        "optimal_text":  (71, 100),
        "title_limit":   None,
        "emoji":         "minimal",
        "emoji_count":   (1, 2),
        "hashtags":      (1, 2),
        "tone":          "concise, punchy; square format for ads/carousel",
    },
    "reddit": {
        "text_limit":    40000,
        "optimal_text":  (200, 500),   # per post body; not counting title
        "title_limit":   300,
        "optimal_title": (60, 120),
        "emoji":         "none",       # zero in tech subreddits
        "emoji_count":   (0, 0),
        "hashtags":      (0, 0),       # not functional on reddit
        "tone":          "developer-first, zero marketing language, community value",
    },
    "hn": {
        "text_limit":    2000,         # practical limit for Show HN body
        "optimal_text":  (300, 800),
        "title_limit":   80,
        "optimal_title": (50, 70),
        "emoji":         "none",       # strong negative signal
        "emoji_count":   (0, 0),
        "hashtags":      (0, 0),
        "tone":          "factual, neutral, zero sales language; Show HN: [Name] — [what it does]",
    },
    "youtube": {
        "text_limit":    5000,         # description
        "optimal_text":  (150, 300),   # first 150 chars above fold
        "title_limit":   100,
        "optimal_title": (60, 70),
        "emoji":         "minimal",    # 1-2 in title OK
        "emoji_count":   (1, 2),
        "hashtags":      (3, 5),       # first 3 appear above title
        "tone":          "clear, benefit-led title; front-load key info in description",
    },
    "discord": {
        "text_limit":    2000,
        "optimal_text":  (200, 500),
        "title_limit":   256,          # embed title
        "emoji":         "heavy",      # 3-8, culturally expected
        "emoji_count":   (3, 8),
        "hashtags":      (0, 0),       # not functional
        "tone":          "casual, community-native; emoji and formatting expected",
    },
    "blog": {
        "text_limit":    None,
        "optimal_text":  None,
        "title_limit":   60,           # meta title for SEO
        "meta_desc":     (150, 160),
        "emoji":         "none",       # not in meta/titles
        "emoji_count":   (0, 0),
        "hashtags":      (0, 0),
        "tone":          "SEO-friendly title; outcome-focused meta description",
    },
    "email": {
        "text_limit":    None,
        "subject_limit": 50,           # optimal 41-50 chars
        "optimal_subject": (41, 50),
        "preview_text":  (40, 130),
        "emoji":         "minimal",    # 1 in subject OK
        "emoji_count":   (0, 1),
        "hashtags":      (0, 0),
        "tone":          "clear subject, personalized when possible",
    },
    "facebook": {
        "text_limit":    63206,
        "optimal_text":  (40, 80),
        "title_limit":   None,
        "emoji":         "minimal",    # 1-3
        "emoji_count":   (1, 3),
        "hashtags":      (1, 3),
        "tone":          "short posts win; link in comments for reach",
    },
}

# Reference canvas height that the proven WOM composite was tuned for.
# Fonts, margins, logo all scale relative to this.
REFERENCE_H = 628

# ── Viewer output directory (where p-*.png files land so post-processor finds them) ──
# CLOUD: PLG_IMAGE_DIR + PLG_IMAGE_BASE_URL env vars route output to the Fly
#        Volume (/data/images/) and stamp full https URLs (pingcap-gtm-orch.fly.dev)
#        into the spec so the browser AND HubSpot can fetch the PNGs.
# LOCAL: env vars unset → fall back to the legacy hubspot-SIM/src/viewer path
#        with localhost:3100 URLs (SIM serves /viewer/p-*.png statically).
import os as _os
VIEWER_DIR = (Path(_os.environ["PLG_IMAGE_DIR"]).resolve()
              if _os.environ.get("PLG_IMAGE_DIR")
              else (ROOT / ".." / ".." / "hubspot-SIM" / "src" / "viewer").resolve())
BASE_URL   = _os.environ.get("PLG_IMAGE_BASE_URL") or "http://localhost:3100/viewer"


def detect_platform(asset: dict) -> str:
    """Classify an asset into a platform bucket by inspecting name/contentFile/platform hints.

    Mirrors platform-recomposite.py:detect_platform() verbatim.
    """
    hay = (
        (asset.get("name", "") or "") + " " +
        (asset.get("contentFile", "") or "") + " " +
        (asset.get("platform", "") or "")
    ).lower()
    if "linkedin" in hay: return "linkedin"
    if "twitter" in hay or " x " in hay:
        # Check for explicit square/carousel indicators
        if "square" in hay or "carousel" in hay or "1:1" in hay:
            return "twitter-square"
        return "twitter"
    if "hn_post" in hay or "hn post" in hay or "hackernews" in hay or "hacker news" in hay: return "hn"
    if "reddit" in hay: return "reddit"
    if "youtube" in hay or "runofshow" in hay or "clips" in hay: return "youtube"
    if "discord" in hay: return "discord"
    if "blog" in hay: return "blog"
    if "landing" in hay or "calculator" in hay or "case" in hay: return "blog"
    if "github" in hay or "readmes" in hay: return "github"
    return "generic"