package model

import (
	"io"
	"log/slog"
	"strings"

	"git.yeij.top/AskaEth/Cyrene_v2/internal/logger"
)

// discardLogger returns a logger that drops every record but still carries the
// adapter's module source, so an adapter built without an injected logger can
// never emit an unsourced record.
func discardLogger(source string) *slog.Logger {
	return logger.WithSource(slog.New(slog.NewTextHandler(io.Discard, nil)), source)
}

// Reasoning wire values shared by the OpenAI-compatible and Anthropic adapters
// (design/04 §3.2, checked against the provider documents on 2026-10-03).
const (
	// thinkingTypeEnabled and thinkingTypeDisabled are the values of the
	// {"thinking":{"type":...}} switch. DeepSeek's default is enabled, so omitting
	// the field leaves thinking ON — "do not intervene" is not a way to switch it
	// off; only an explicit disabled (or reasoning_effort "none") is.
	thinkingTypeEnabled  = "enabled"
	thinkingTypeDisabled = "disabled"
	// effortNone is the reasoning_effort value that switches thinking off. It is a
	// switch, not a strength tier, so it must never be replaced by a tier: mapping
	// it onto "low" would invert the caller's intent (thinking off → thinking on).
	effortNone = "none"
)

// reasoningVendor identifies the vendor behind an OpenAI-compatible endpoint.
// The wire protocol is the same for all of them, but the accepted
// reasoning_effort values are not, so a value must be checked against the right
// whitelist instead of being forwarded blindly.
type reasoningVendor string

const (
	vendorOpenAI   reasoningVendor = "openai"
	vendorDeepSeek reasoningVendor = "deepseek"
	vendorQwen     reasoningVendor = "qwen"
	vendorUnknown  reasoningVendor = "unknown"
)

// reasoningEffortAliases is DeepSeek's documented compatibility mapping: the
// service accepts these aliases and applies the mapped tier. The mapping is
// applied on our side too, so the request body always carries the tier the
// provider documents as the effective one (design/04 §3.2 fact 1).
var reasoningEffortAliases = map[string]string{
	"minimal": "low",
	"medium":  "high",
	"xhigh":   "high",
	"ultra":   "max",
}

// reasoningEffortAllowed is the per-vendor set of accepted reasoning_effort
// values. A vendor absent from this table has no reasoning_effort support at all,
// which is reported rather than guessed.
//
// There is deliberately no "round down to the nearest tier" fallback: an
// unsupported value is dropped and reported instead, because silently changing it
// can invert the caller's intent — the original bug mapped DeepSeek's "none"
// (thinking off) onto "low" (thinking on) exactly that way.
var reasoningEffortAllowed = map[reasoningVendor]map[string]bool{
	vendorOpenAI:   tierSet("none", "minimal", "low", "medium", "high", "xhigh", "max"),
	vendorDeepSeek: tierSet("none", "low", "high", "max"),
}

// tierSet builds a membership set from the given tiers.
func tierSet(tiers ...string) map[string]bool {
	set := make(map[string]bool, len(tiers))
	for _, t := range tiers {
		set[t] = true
	}
	return set
}

// reasoningVendorFor classifies the vendor of an OpenAI-compatible request from
// its model name, falling back to the base URL when the name does not identify
// one. An unrecognized pair yields vendorUnknown so the caller reports "not
// supported" instead of assuming OpenAI semantics. The Anthropic adapter uses the
// same classification to tell a DeepSeek /anthropic endpoint (which ignores
// budget_tokens) from the Anthropic endpoint.
func reasoningVendorFor(model, baseURL string) reasoningVendor {
	m := strings.ToLower(strings.TrimSpace(model))
	switch {
	case strings.Contains(m, "deepseek"):
		return vendorDeepSeek
	case strings.Contains(m, "qwen"):
		return vendorQwen
	case strings.Contains(m, "gpt-"), strings.Contains(m, "chatgpt"),
		strings.HasPrefix(m, "o1"), strings.HasPrefix(m, "o3"), strings.HasPrefix(m, "o4"):
		return vendorOpenAI
	}
	u := strings.ToLower(strings.TrimSpace(baseURL))
	switch {
	case strings.Contains(u, "deepseek"):
		return vendorDeepSeek
	case strings.Contains(u, "dashscope"), strings.Contains(u, "aliyuncs"):
		return vendorQwen
	case strings.Contains(u, "openai"):
		return vendorOpenAI
	}
	return vendorUnknown
}

// thinkingSwitchValue maps an explicit on/off switch onto its wire value.
func thinkingSwitchValue(enable bool) string {
	if enable {
		return thinkingTypeEnabled
	}
	return thinkingTypeDisabled
}

// normalizeDeepSeekEffort maps an effort onto the tier DeepSeek applies and
// reports whether the value is one the service documents: the documented set
// (none/low/high/max) passes through, the compatibility aliases map to their
// official tier.
func normalizeDeepSeekEffort(effort string) (string, bool) {
	if tier, ok := reasoningEffortAliases[effort]; ok {
		return tier, true
	}
	if reasoningEffortAllowed[vendorDeepSeek][effort] {
		return effort, true
	}
	return "", false
}

// resolveReasoningEffort validates effort against the vendor's whitelist and
// returns the value to send; "" drops the field. An unrecognized value is never
// turned into a different tier — it is dropped and reported with provider, field,
// value and model, because changing it can invert the caller's intent. A DeepSeek
// compatibility alias is normalized to the tier the service applies and reported.
//
// vendor must be a vendor with a reasoning_effort whitelist (DeepSeek / OpenAI):
// the shapes that carry no such field (vLLM / DashScope) and the endpoints whose
// shape is unknown drop the effort themselves and report it, so their callers
// never reach this function (see reasoning_shape.go, 裁决 03.4.2).
func resolveReasoningEffort(log *slog.Logger, vendor reasoningVendor, effort, model string) string {
	effort = strings.TrimSpace(effort)
	if effort == "" {
		return ""
	}
	allowed := reasoningEffortAllowed[vendor]
	if allowed[effort] {
		return effort
	}
	if vendor == vendorDeepSeek {
		if tier, ok := normalizeDeepSeekEffort(effort); ok {
			log.Warn("reasoning_effort alias normalized to the tier DeepSeek applies",
				"provider", "deepseek", "field", "reasoning_effort",
				"value", effort, "sent", tier, "model", model)
			return tier
		}
	}
	log.Warn("reasoning_effort dropped: unrecognized value",
		"provider", string(vendor), "field", "reasoning_effort", "value", effort, "model", model)
	return ""
}

// toolChoiceForces reports whether a tool_choice directive obliges the model to
// call a tool ("required", Anthropic's "any", or a named tool). auto/none do not.
func toolChoiceForces(toolChoice any) bool {
	switch v := toolChoice.(type) {
	case nil:
		return false
	case string:
		return strings.EqualFold(strings.TrimSpace(v), "required")
	case map[string]any:
		if forcedToolChoiceType(v["type"]) {
			return true
		}
		_, named := v["function"]
		return named
	case map[string]string:
		if forcedToolChoiceType(v["type"]) {
			return true
		}
		_, named := v["function"]
		return named
	}
	return false
}

// forcedToolChoiceType reports whether a tool_choice "type" value forces a call.
func forcedToolChoiceType(value any) bool {
	t, _ := value.(string)
	switch strings.ToLower(strings.TrimSpace(t)) {
	case "required", "any", "tool":
		return true
	}
	return false
}

// reportForcedToolChoiceWithThinking warns about the DeepSeek red line that a
// forced tool call — tool_choice "required"/"any"/a named tool — and thinking are
// not compatible: while thinking is on (its default) the API rejects the forcing
// directive with a 400, so the caller must switch thinking off explicitly first
// (design/04 §3.2 fact 5). It only reports: resolution must never switch thinking
// off on its own. On the OpenAI-compatible adapter the directive is not on the
// wire yet (M2), so the warning is prospective there — it still records that the
// requested combination can never be honoured.
func reportForcedToolChoiceWithThinking(log *slog.Logger, provider, model string, toolChoice any, thinkingOn bool) {
	if !thinkingOn || !toolChoiceForces(toolChoice) {
		return
	}
	log.Warn("tool_choice forcing cannot be combined with thinking (forcing is rejected with a 400): disable thinking explicitly before forcing a tool call",
		"provider", provider, "field", "tool_choice", "model", model)
}