package model

import (
	"context"
	"net/http"
	"strings"
	"testing"

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

// TestDeepSeekAnthropicEndpoint_Classification pins the endpoint detection: a
// DeepSeek /anthropic URL must be recognized even when the configured model name
// is not a DeepSeek one (the service silently maps unknown names onto
// deepseek-flash, so the name is not a reliable signal there).
func TestDeepSeekAnthropicEndpoint_Classification(t *testing.T) {
	t.Parallel()
	cases := []struct {
		model   string
		baseURL string
		want    bool
	}{
		{model: deepSeekModel, baseURL: "http://127.0.0.1:9", want: true},
		{model: "claude-sonnet-4", baseURL: "https://api.deepseek.com/anthropic", want: true},
		{model: "gpt-4o", baseURL: "https://api.deepseek.com/anthropic", want: true},
		{model: "claude-sonnet-4", baseURL: "https://api.anthropic.com", want: false},
		{model: "deepseek-v4-pro", baseURL: "https://gateway.internal/anthropic", want: true},
	}
	for _, tc := range cases {
		if got := deepSeekAnthropicEndpoint(tc.model, tc.baseURL); got != tc.want {
			t.Errorf("deepSeekAnthropicEndpoint(%q, %q) = %v, want %v", tc.model, tc.baseURL, got, tc.want)
		}
	}
}

// newDeepSeekAnthropicAdapter builds an Anthropic-protocol adapter whose model
// name identifies DeepSeek, so the DeepSeek /anthropic branch is exercised while
// the request still goes to a local stub.
func newDeepSeekAnthropicAdapter(t *testing.T, ch chan<- anthropicCaptured, opts ...AnthropicOption) *AnthropicChatAdapter {
	t.Helper()
	srv := newAnthropicServer(t, http.StatusOK, "application/json", anthropicTextResponse, ch)
	return NewAnthropicChat(config.LLMConfig{AnthropicBaseURL: srv.URL, AnthropicModel: deepSeekModel}, opts...)
}

// TestAnthropicDeepSeek_BudgetDoesNotRaiseMaxTokens asserts the max_tokens raise
// stays on the Anthropic endpoint: DeepSeek's /anthropic ignores budget_tokens, so
// raising the limit there would misreport the budget the provider applies.
func TestAnthropicDeepSeek_BudgetDoesNotRaiseMaxTokens(t *testing.T) {
	t.Parallel()
	ch := make(chan anthropicCaptured, 1)
	log, buf := captureLog()
	ad := newDeepSeekAnthropicAdapter(t, ch, WithAnthropicLogger(log))

	const budget = 8192
	if _, err := ad.Chat(context.Background(), Request{
		Model:     deepSeekModel,
		Messages:  []Message{TextMessage(RoleUser, "hi")},
		MaxTokens: 1024,
		Thinking:  &Thinking{BudgetTokens: budget},
	}, Options{}); err != nil {
		t.Fatalf("Chat error: %v", err)
	}
	body := (<-ch).body
	if got := body["max_tokens"]; got != float64(1024) {
		t.Fatalf("body.max_tokens = %v, want the requested 1024 (DeepSeek ignores budget_tokens)", got)
	}
	think, ok := body["thinking"].(map[string]any)
	if !ok || think["type"] != thinkingTypeEnabled {
		t.Fatalf("body.thinking = %v, want an enabled directive", body["thinking"])
	}
	rec := buf.String()
	for _, want := range []string{"level=WARN", "budget_tokens", "ignored", "deepseek"} {
		if !strings.Contains(rec, want) {
			t.Errorf("log %q missing %q", rec, want)
		}
	}
	if strings.Contains(rec, "max_tokens raised") {
		t.Errorf("log %q reports a max_tokens raise that must not happen on the DeepSeek endpoint", rec)
	}
}

// TestAnthropicOfficial_BudgetStillRaisesMaxTokens is the counterpart guard: on
// the Anthropic endpoint the design red line ("budget must not eat the answer")
// still holds.
func TestAnthropicOfficial_BudgetStillRaisesMaxTokens(t *testing.T) {
	t.Parallel()
	ch := make(chan anthropicCaptured, 1)
	srv := newAnthropicServer(t, http.StatusOK, "application/json", anthropicTextResponse, ch)
	log, buf := captureLog()
	ad := NewAnthropicChat(config.LLMConfig{AnthropicBaseURL: srv.URL, AnthropicModel: "claude-test"},
		WithAnthropicLogger(log))

	if _, err := ad.Chat(context.Background(), Request{
		Model:     "claude-test",
		Messages:  []Message{TextMessage(RoleUser, "hi")},
		MaxTokens: 1024,
		Thinking:  &Thinking{BudgetTokens: 4096},
	}, Options{}); err != nil {
		t.Fatalf("Chat error: %v", err)
	}
	body := (<-ch).body
	maxTokens, _ := body["max_tokens"].(float64)
	think, _ := body["thinking"].(map[string]any)
	budget, _ := think["budget_tokens"].(float64)
	if maxTokens <= budget {
		t.Fatalf("body.max_tokens = %v, want > budget_tokens %v on the Anthropic endpoint", maxTokens, budget)
	}
	if !strings.Contains(buf.String(), "max_tokens raised") {
		t.Errorf("log %q, want the raise WARN", buf.String())
	}
}

// TestAnthropicDeepSeek_OutputConfigEffort asserts the DeepSeek /anthropic
// strength path exists: the effort becomes output_config.effort, and the aliases
// are normalized to the tiers the service applies.
func TestAnthropicDeepSeek_OutputConfigEffort(t *testing.T) {
	t.Parallel()
	cases := []struct{ sent, want string }{
		{"low", "low"},
		{"high", "high"},
		{"max", "max"},
		{"minimal", "low"},
		{"medium", "high"},
		{"xhigh", "high"},
		{"ultra", "max"},
	}
	for _, tc := range cases {
		t.Run(tc.sent, func(t *testing.T) {
			t.Parallel()
			ch := make(chan anthropicCaptured, 1)
			ad := newDeepSeekAnthropicAdapter(t, ch)
			if _, err := ad.Chat(context.Background(), Request{
				Model:           deepSeekModel,
				Messages:        []Message{TextMessage(RoleUser, "hi")},
				ReasoningEffort: tc.sent,
			}, Options{}); err != nil {
				t.Fatalf("Chat error: %v", err)
			}
			body := (<-ch).body
			output, ok := body["output_config"].(map[string]any)
			if !ok {
				t.Fatalf("body.output_config = %v, want an effort block", body["output_config"])
			}
			if got := output["effort"]; got != tc.want {
				t.Fatalf("body.output_config.effort = %v, want %q (sent %q)", got, tc.want, tc.sent)
			}
		})
	}
}

// TestAnthropicDeepSeek_OutputConfigEffortInvalidDropped asserts an unrecognized
// effort is dropped and reported rather than approximated.
func TestAnthropicDeepSeek_OutputConfigEffortInvalidDropped(t *testing.T) {
	t.Parallel()
	ch := make(chan anthropicCaptured, 1)
	log, buf := captureLog()
	ad := newDeepSeekAnthropicAdapter(t, ch, WithAnthropicLogger(log))

	if _, err := ad.Chat(context.Background(), Request{
		Model:           deepSeekModel,
		Messages:        []Message{TextMessage(RoleUser, "hi")},
		ReasoningEffort: "foo",
	}, Options{}); err != nil {
		t.Fatalf("Chat error: %v", err)
	}
	body := (<-ch).body
	if _, present := body["output_config"]; present {
		t.Fatalf("body.output_config = %v, want the block dropped", body["output_config"])
	}
	if _, present := body["reasoning_effort"]; present {
		t.Fatalf("body.reasoning_effort = %v, want the field dropped", body["reasoning_effort"])
	}
	rec := buf.String()
	for _, want := range []string{"level=WARN", "reasoning_effort", "foo", "deepseek"} {
		if !strings.Contains(rec, want) {
			t.Errorf("log %q missing %q", rec, want)
		}
	}
}

// TestAnthropicDeepSeek_EffortNoneDisablesThinking pins the translation of the
// one effort value output_config cannot carry: DeepSeek's Anthropic format has no
// effort "none", so the off intent goes through the thinking switch — mapping it
// onto a tier would turn thinking off into thinking on.
func TestAnthropicDeepSeek_EffortNoneDisablesThinking(t *testing.T) {
	t.Parallel()
	ch := make(chan anthropicCaptured, 1)
	log, buf := captureLog()
	ad := newDeepSeekAnthropicAdapter(t, ch, WithAnthropicLogger(log))

	if _, err := ad.Chat(context.Background(), Request{
		Model:           deepSeekModel,
		Messages:        []Message{TextMessage(RoleUser, "hi")},
		ReasoningEffort: effortNone,
	}, Options{}); err != nil {
		t.Fatalf("Chat error: %v", err)
	}
	body := (<-ch).body
	think, ok := body["thinking"].(map[string]any)
	if !ok || think["type"] != thinkingTypeDisabled {
		t.Fatalf("body.thinking = %v, want %q", body["thinking"], thinkingTypeDisabled)
	}
	if _, present := body["output_config"]; present {
		t.Fatalf("body.output_config = %v, want no effort block", body["output_config"])
	}
	if rec := buf.String(); !strings.Contains(rec, "none") || !strings.Contains(rec, "level=WARN") {
		t.Errorf("log %q, want a WARN explaining the translation", rec)
	}
}

// TestAnthropicDeepSeek_ThinkingSwitch asserts an explicit switch is carried as
// the Anthropic-format thinking block, and that a disabled one omits the budget
// (DeepSeek ignores it anyway).
func TestAnthropicDeepSeek_ThinkingSwitch(t *testing.T) {
	t.Parallel()
	cases := []struct {
		name     string
		enable   *bool
		wantType string
		absent   bool
	}{
		{name: "explicit_off", enable: boolPtr(false), wantType: thinkingTypeDisabled},
		{name: "explicit_on", enable: boolPtr(true), wantType: thinkingTypeEnabled},
		{name: "nil_leaves_the_default", enable: nil, absent: true},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			t.Parallel()
			ch := make(chan anthropicCaptured, 1)
			ad := newDeepSeekAnthropicAdapter(t, ch)
			req := Request{Model: deepSeekModel, Messages: []Message{TextMessage(RoleUser, "hi")}}
			if tc.enable != nil {
				req.Thinking = &Thinking{Enable: tc.enable}
			}
			if _, err := ad.Chat(context.Background(), req, Options{}); err != nil {
				t.Fatalf("Chat error: %v", err)
			}
			body := (<-ch).body
			think, present := body["thinking"].(map[string]any)
			if tc.absent {
				if present {
					t.Fatalf("body.thinking = %v, want the field omitted", body["thinking"])
				}
				return
			}
			if !present || think["type"] != tc.wantType {
				t.Fatalf("body.thinking = %v, want type %q", body["thinking"], tc.wantType)
			}
			if _, hasBudget := think["budget_tokens"]; tc.wantType == thinkingTypeDisabled && hasBudget {
				t.Errorf("body.thinking = %v, want no budget_tokens for a disabled switch", think)
			}
		})
	}
}

// TestAnthropicDeepSeek_EffortDroppedWhenThinkingDisabled keeps the "off wins"
// rule on the Anthropic path too: output_config.effort must not re-open thinking.
func TestAnthropicDeepSeek_EffortDroppedWhenThinkingDisabled(t *testing.T) {
	t.Parallel()
	ch := make(chan anthropicCaptured, 1)
	log, buf := captureLog()
	ad := newDeepSeekAnthropicAdapter(t, ch, WithAnthropicLogger(log))

	if _, err := ad.Chat(context.Background(), Request{
		Model:           deepSeekModel,
		Messages:        []Message{TextMessage(RoleUser, "hi")},
		Thinking:        &Thinking{Enable: boolPtr(false)},
		ReasoningEffort: "high",
	}, Options{}); err != nil {
		t.Fatalf("Chat error: %v", err)
	}
	body := (<-ch).body
	if _, present := body["output_config"]; present {
		t.Fatalf("body.output_config = %v, want it dropped while thinking is off", body["output_config"])
	}
	if think, _ := body["thinking"].(map[string]any); think["type"] != thinkingTypeDisabled {
		t.Fatalf("body.thinking = %v, want %q", body["thinking"], thinkingTypeDisabled)
	}
	if rec := buf.String(); !strings.Contains(rec, "explicitly disabled") {
		t.Errorf("log %q, want a WARN explaining the dropped effort", rec)
	}
}

// TestAnthropicOfficial_ReasoningEffortReportedIgnored asserts a reasoning_effort
// aimed at the Anthropic endpoint is reported instead of silently disappearing —
// the Messages protocol has no such field.
func TestAnthropicOfficial_ReasoningEffortReportedIgnored(t *testing.T) {
	t.Parallel()
	ch := make(chan anthropicCaptured, 1)
	srv := newAnthropicServer(t, http.StatusOK, "application/json", anthropicTextResponse, ch)
	log, buf := captureLog()
	ad := NewAnthropicChat(config.LLMConfig{AnthropicBaseURL: srv.URL, AnthropicModel: "claude-test"},
		WithAnthropicLogger(log))

	if _, err := ad.Chat(context.Background(), Request{
		Model:           "claude-test",
		Messages:        []Message{TextMessage(RoleUser, "hi")},
		ReasoningEffort: "high",
	}, Options{}); err != nil {
		t.Fatalf("Chat error: %v", err)
	}
	body := (<-ch).body
	for _, key := range []string{"reasoning_effort", "output_config"} {
		if _, present := body[key]; present {
			t.Errorf("body.%s = %v, want the Anthropic endpoint untouched", key, body[key])
		}
	}
	rec := buf.String()
	for _, want := range []string{"level=WARN", "reasoning_effort", "high", "anthropic"} {
		if !strings.Contains(rec, want) {
			t.Errorf("log %q missing %q", rec, want)
		}
	}
}

// TestAnthropicDeepSeek_ForcedToolChoiceWithThinkingWarns covers the DeepSeek 400
// trap on the Anthropic path: the adapter warns and still sends the directive —
// it never closes thinking on its own.
func TestAnthropicDeepSeek_ForcedToolChoiceWithThinkingWarns(t *testing.T) {
	t.Parallel()
	ch := make(chan anthropicCaptured, 1)
	log, buf := captureLog()
	ad := newDeepSeekAnthropicAdapter(t, ch, WithAnthropicLogger(log))

	choice := map[string]any{"type": "tool", "name": "get_time"}
	if _, err := ad.Chat(context.Background(), Request{
		Model:      deepSeekModel,
		Messages:   []Message{TextMessage(RoleUser, "hi")},
		ToolChoice: choice,
	}, Options{}); err != nil {
		t.Fatalf("Chat error: %v", err)
	}
	if got := (<-ch).body["tool_choice"]; got == nil {
		t.Fatal("body.tool_choice = nil, want the directive passed through verbatim")
	}
	rec := buf.String()
	for _, want := range []string{"level=WARN", "tool_choice", "deepseek", deepSeekModel} {
		if !strings.Contains(rec, want) {
			t.Errorf("log %q missing %q", rec, want)
		}
	}
}