processEmails now also does the summarize. see #631
This commit is contained in:
mic
parent
a7a17b7cb5
commit
ca2323ba88
1 changed files with 219 additions and 223 deletions
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@ -1040,87 +1040,16 @@ browser.menus.onClicked.addListener( (info, tab) => {
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if(info.menuItemId === contextMenuID_Summarize) {
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_summarize = true;
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}
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if(_add_tags || _spamfilter){
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if(_add_tags || _spamfilter || _summarize){
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processEmails({
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messages: getMessages(info.selectedMessages),
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addTagsAuto: _add_tags,
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spamFilter: _spamfilter
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spamFilter: _spamfilter,
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summarize: _summarize
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});
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}
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if(_summarize) {
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// info.selectedMessages is of type MessageList
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summarizeEmails(getMessages(info.selectedMessages));
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}
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});
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async function summarizeEmails(messages) {
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taWorkingStatus.startWorking();
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// we have three prompts, the actual assignment for the LLM, the email
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// template prompt, and the email separator prompt
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const specialPrompts = await getSpecialPrompts();
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const prompt = specialPrompts.find((prompt) => prompt.id === 'prompt_summarize');
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const prompt_email = specialPrompts.find((prompt) => prompt.id === 'prompt_summarize_email_template');
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const prompt_email_separator = specialPrompts.find((prompt) => prompt.id === 'prompt_summarize_email_separator');
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const tabs = await browser.tabs.query({ active: true, currentWindow: true });
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const chatgpt_lang = await taPromptUtils.getDefaultLang(prompt);
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// replace placeholders in the prompts the assignment prompt and email
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// separator prompt do not have a message as context, so there is only
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// limited things to replace
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const prompt_string = await taPromptUtils.preparePrompt({
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curr_prompt: prompt,
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chatgpt_lang: chatgpt_lang,
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});
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const prompt_email_separator_string = await taPromptUtils.preparePrompt({
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curr_prompt: prompt_email_separator,
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chatgpt_lang: chatgpt_lang,
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});
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// assemble all email messages into one string and add the assignment prompt
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const messages_list = [];
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for await (let curr_message of messages) {
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// extract body of current message as text
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const curr_message_full = await browser.messages.getFull(curr_message.id);
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const curr_body_full_html = getMailBody(curr_message_full);
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const curr_body_full_text = htmlBodyToPlainText(curr_body_full_html.html);
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if( curr_body_full_text.length === 0) {
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taLog.log("No HTML found in the message body, using plain text...");
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curr_body_full_text = curr_message_full.text;
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}
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messages_list.push(await taPromptUtils.preparePrompt({
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curr_prompt: prompt_email,
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curr_message: curr_message,
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chatgpt_lang: chatgpt_lang,
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body_text: curr_body_full_text,
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subject_text: curr_message_full.headers.subject,
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msg_text: curr_body_full_html,
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}));
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};
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const messages_string = messages_list.join(prompt_email_separator_string);
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const full_prompt = prompt_string + prompt_email_separator_string + messages_string;
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// console.log(full_prompt);
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// send the prompt to the chat interface
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openChatGPT(
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full_prompt,
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prompt.action,
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tabs[0].id,
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prompt.name,
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prompt.need_custom_text,
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prompt
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)
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taWorkingStatus.stopWorking();
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return {ok : '1'};
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}
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// Listening for new received emails
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const newEmailListener = (folder, messagesList) => {
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@ -1157,168 +1086,235 @@ async function processEmails(args) {
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const {
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messages,
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addTagsAuto = false,
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spamFilter = false
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spamFilter = false,
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summarize = false
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} = args;
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taWorkingStatus.startWorking();
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if (addTagsAuto || spamFilter) {
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let prefs_aats = await browser.storage.sync.get({
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add_tags_maxnum: prefs_default.add_tags_maxnum,
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connection_type: prefs_default.connection_type,
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add_tags_force_lang: prefs_default.add_tags_force_lang,
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default_chatgpt_lang: prefs_default.default_chatgpt_lang,
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add_tags_auto_force_existing: prefs_default.add_tags_auto_force_existing,
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add_tags_enabled_accounts: prefs_default.add_tags_enabled_accounts,
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add_tags_exclusions_exact_match: prefs_default.add_tags_exclusions_exact_match,
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add_tags_auto_uselist: prefs_default.add_tags_auto_uselist,
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add_tags_auto_uselist_list: prefs_default.add_tags_auto_uselist_list,
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spamfilter_enabled_accounts: prefs_default.spamfilter_enabled_accounts,
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...getDynamicSettingsDefaults(['use_specific_integration', 'connection_type']),
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do_debug: prefs_default.do_debug,
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});
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// console.log(">>>>>>>>>>>>>>>> prefs_aats: " + JSON.stringify(prefs_aats));
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for await (let message of messages) {
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let curr_fullMessage = null;
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let msg_text = null;
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let body_text = '';
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let prefs_aats = await browser.storage.sync.get({
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add_tags_maxnum: prefs_default.add_tags_maxnum,
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connection_type: prefs_default.connection_type,
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add_tags_force_lang: prefs_default.add_tags_force_lang,
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default_chatgpt_lang: prefs_default.default_chatgpt_lang,
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add_tags_auto_force_existing: prefs_default.add_tags_auto_force_existing,
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add_tags_enabled_accounts: prefs_default.add_tags_enabled_accounts,
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add_tags_exclusions_exact_match: prefs_default.add_tags_exclusions_exact_match,
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add_tags_auto_uselist: prefs_default.add_tags_auto_uselist,
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add_tags_auto_uselist_list: prefs_default.add_tags_auto_uselist_list,
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spamfilter_enabled_accounts: prefs_default.spamfilter_enabled_accounts,
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...getDynamicSettingsDefaults(['use_specific_integration', 'connection_type']),
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do_debug: prefs_default.do_debug,
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});
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// console.log(">>>>>>>>>>>>>>>> prefs_aats: " + JSON.stringify(prefs_aats));
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for await (let message of messages) {
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let curr_fullMessage = null;
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let msg_text = null;
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let body_text = '';
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if (addTagsAuto || spamFilter) {
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curr_fullMessage = await browser.messages.getFull(message.id);
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msg_text = getMailBody(curr_fullMessage);
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taLog.log("Starting from the HTML body if present and converting to plain text...");
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body_text = htmlBodyToPlainText(msg_text.html);
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if( body_text.length == 0 ){
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taLog.log("No HTML found in the message body, using plain text...");
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body_text = msg_text.text.replace(/\s+/g, ' ').trim();
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}
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}
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if (addTagsAuto) {
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if(prefs_aats.add_tags_enabled_accounts.length > 0){
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let accountId = message.folder.accountId;
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if(!prefs_aats.add_tags_enabled_accounts.includes(accountId)){
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taLog.log("Account " + accountId + " not enabled for add_tags, skipping...");
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continue;
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if (addTagsAuto || spamFilter) {
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curr_fullMessage = await browser.messages.getFull(message.id);
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msg_text = getMailBody(curr_fullMessage);
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taLog.log("Starting from the HTML body if present and converting to plain text...");
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body_text = htmlBodyToPlainText(msg_text.html);
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if( body_text.length == 0 ){
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taLog.log("No HTML found in the message body, using plain text...");
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body_text = msg_text.text.replace(/\s+/g, ' ').trim();
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}
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}
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let specialFullPrompt_add_tags = '';
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let curr_prompt_add_tags = menus.allPrompts.find(p => p.id === 'prompt_add_tags');
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let tags_full_list = await getTagsList();
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// console.log(">>>>>>>>>>>>> curr_prompt_add_tags: " + JSON.stringify(curr_prompt_add_tags));
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let chatgpt_lang = await taPromptUtils.getDefaultLang(curr_prompt_add_tags);
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specialFullPrompt_add_tags = await taPromptUtils.preparePrompt({
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curr_prompt: curr_prompt_add_tags,
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curr_message: message,
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chatgpt_lang: chatgpt_lang,
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body_text: body_text,
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subject_text: curr_fullMessage.headers.subject,
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msg_text: msg_text,
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tags_full_list: tags_full_list
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});
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specialFullPrompt_add_tags = taPromptUtils.finalizePrompt_add_tags(specialFullPrompt_add_tags, prefs_aats.add_tags_maxnum, prefs_aats.add_tags_force_lang, prefs_aats.default_chatgpt_lang, prefs_aats.add_tags_auto_uselist, prefs_aats.add_tags_auto_uselist_list);
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taLog.log("Special prompt: " + specialFullPrompt_add_tags);
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// console.log(">>>>>>>>>> curr_prompt_add_tags.model: " + curr_prompt_add_tags.model);
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// console.log(">>>>>>>>>>>>>>>>> getConnectionType add_tags:" + JSON.stringify(getConnectionType(prefs_aats, curr_prompt_add_tags, 'add_tags')));
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let cmd_addTags = new mzta_specialCommand({
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prompt: specialFullPrompt_add_tags,
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llm: getConnectionType(prefs_aats, curr_prompt_add_tags, 'add_tags'),
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custom_model: curr_prompt_add_tags.model ? curr_prompt_add_tags.model : '',
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do_debug: prefs_aats.do_debug,
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config: curr_prompt_add_tags
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});
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await cmd_addTags.initWorker();
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let tags_current_email = [];
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try {
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tags_current_email = taPromptUtils.getTagsFromResponse(await cmd_addTags.sendPrompt(), prefs_aats.add_tags_auto_uselist, prefs_aats.add_tags_auto_uselist_list);
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} catch (err) {
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console.error("[ThunderAI | Auto add_tags] Error getting tags: ", err);
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}
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taLog.log("tags_current_email: " + JSON.stringify(tags_current_email));
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let _data = { messageId: message.id, tags: tags_current_email };
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_assign_tags(_data, !prefs_aats.add_tags_auto_force_existing, prefs_aats.add_tags_exclusions_exact_match);
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}
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if (spamFilter) {
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if(prefs_aats.spamfilter_enabled_accounts.length > 0){
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let accountId = message.folder.accountId;
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if(!prefs_aats.spamfilter_enabled_accounts.includes(accountId)){
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taLog.log("Account " + accountId + " not enabled for spamfilter, skipping...");
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continue;
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if (addTagsAuto) {
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if(prefs_aats.add_tags_enabled_accounts.length > 0){
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let accountId = message.folder.accountId;
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if(!prefs_aats.add_tags_enabled_accounts.includes(accountId)){
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taLog.log("Account " + accountId + " not enabled for add_tags, skipping...");
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continue;
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}
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}
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let specialFullPrompt_add_tags = '';
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let curr_prompt_add_tags = menus.allPrompts.find(p => p.id === 'prompt_add_tags');
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let tags_full_list = await getTagsList();
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// console.log(">>>>>>>>>>>>> curr_prompt_add_tags: " + JSON.stringify(curr_prompt_add_tags));
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let chatgpt_lang = await taPromptUtils.getDefaultLang(curr_prompt_add_tags);
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specialFullPrompt_add_tags = await taPromptUtils.preparePrompt({
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curr_prompt: curr_prompt_add_tags,
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curr_message: message,
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chatgpt_lang: chatgpt_lang,
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body_text: body_text,
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subject_text: curr_fullMessage.headers.subject,
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msg_text: msg_text,
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tags_full_list: tags_full_list
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});
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specialFullPrompt_add_tags = taPromptUtils.finalizePrompt_add_tags(specialFullPrompt_add_tags, prefs_aats.add_tags_maxnum, prefs_aats.add_tags_force_lang, prefs_aats.default_chatgpt_lang, prefs_aats.add_tags_auto_uselist, prefs_aats.add_tags_auto_uselist_list);
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taLog.log("Special prompt: " + specialFullPrompt_add_tags);
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// console.log(">>>>>>>>>> curr_prompt_add_tags.model: " + curr_prompt_add_tags.model);
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// console.log(">>>>>>>>>>>>>>>>> getConnectionType add_tags:" + JSON.stringify(getConnectionType(prefs_aats, curr_prompt_add_tags, 'add_tags')));
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let cmd_addTags = new mzta_specialCommand({
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prompt: specialFullPrompt_add_tags,
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llm: getConnectionType(prefs_aats, curr_prompt_add_tags, 'add_tags'),
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custom_model: curr_prompt_add_tags.model ? curr_prompt_add_tags.model : '',
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do_debug: prefs_aats.do_debug,
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config: curr_prompt_add_tags
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});
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await cmd_addTags.initWorker();
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let tags_current_email = [];
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try {
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tags_current_email = taPromptUtils.getTagsFromResponse(await cmd_addTags.sendPrompt(), prefs_aats.add_tags_auto_uselist, prefs_aats.add_tags_auto_uselist_list);
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} catch (err) {
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console.error("[ThunderAI | Auto add_tags] Error getting tags: ", err);
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}
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taLog.log("tags_current_email: " + JSON.stringify(tags_current_email));
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let _data = { messageId: message.id, tags: tags_current_email };
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_assign_tags(_data, !prefs_aats.add_tags_auto_force_existing, prefs_aats.add_tags_exclusions_exact_match);
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}
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let curr_prompt_spamfilter = await getSpamFilterPrompt();
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// console.log(">>>>>>>>>>>>> curr_prompt_spamfilter: " + JSON.stringify(curr_prompt_spamfilter));
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let chatgpt_lang = await taPromptUtils.getDefaultLang(curr_prompt_spamfilter);
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let specialFullPrompt_spamfilter = await taPromptUtils.preparePrompt({
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curr_prompt: curr_prompt_spamfilter,
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curr_message: message,
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chatgpt_lang: chatgpt_lang,
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body_text: body_text,
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subject_text: curr_fullMessage.headers.subject,
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msg_text: msg_text
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});
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taLog.log("Special prompt: " + specialFullPrompt_spamfilter);
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// console.log(">>>>>>>> Special prompt for spamfilter: " + specialFullPrompt_spamfilter);
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let cmd_spamfilter = new mzta_specialCommand({
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prompt: specialFullPrompt_spamfilter,
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llm: getConnectionType(prefs_aats, curr_prompt_spamfilter, 'spamfilter'),
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custom_model: curr_prompt_spamfilter.model ? curr_prompt_spamfilter.model : '',
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do_debug: prefs_aats.do_debug,
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config: curr_prompt_spamfilter
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});
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await cmd_spamfilter.initWorker();
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let spamfilter_result = '';
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taLog.log("Sending the prompt...");
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try {
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spamfilter_result = (await cmd_spamfilter.sendPrompt()).trim();
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} catch (err) {
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console.error("[ThunderAI | SpamFilter] Error getting spamfilter: ", err);
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}
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taLog.log("spamfilter_result: " + spamfilter_result);
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let jsonObj = {};
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taLog.log("Decoding the AI response...");
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try {
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jsonObj = extractJsonObject(spamfilter_result);
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} catch (e) {
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console.error("[ThunderAI | SpamFilter] Error extracting JSON from AI response: ", e);
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}
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taLog.log("SpamFilter jsonObj: " + JSON.stringify(jsonObj));
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let report_data = {};
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report_data.report_date = new Date();
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report_data.headerMessageId = message.headerMessageId;
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report_data.spamValue = jsonObj.spamValue;
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report_data.explanation = jsonObj.explanation;
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report_data.subject = curr_fullMessage.headers.subject;
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report_data.from = curr_fullMessage.headers.from;
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report_data.message_date = new Date(message.date);
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report_data.moved = false;
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report_data.SpamThreshold = prefs_init.spamfilter_threshold;
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if (jsonObj.spamValue >= prefs_init.spamfilter_threshold) {
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taLog.log("Marking as spam [" + message.headerMessageId + "]");
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messenger.messages.update(message.id, { junk: true });
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let spamFolder = await messenger.folders.query({ accountId: message.folder.accountId, specialUse: ['junk'] });
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messenger.messages.move([message.id], spamFolder[0].id);
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report_data.moved = true;
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taLog.log("Marked as spam [" + message.headerMessageId + "]");
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}
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taSpamReport.saveReportData(report_data, message.headerMessageId);
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// Check if the message is currently displayed and update the banner
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if (prefs_init.spamfilter_show_msg_panel) {
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let tabs = await browser.tabs.query({ active: true, currentWindow: true });
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if (tabs.length > 0) {
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let activeTab = tabs[0];
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let displayedMessage = await browser.messageDisplay.getDisplayedMessage(activeTab.id);
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if (displayedMessage && displayedMessage.id === message.id) {
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browser.tabs.sendMessage(activeTab.id, { command: "showSpamReport", data: report_data });
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if (spamFilter) {
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if(prefs_aats.spamfilter_enabled_accounts.length > 0){
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let accountId = message.folder.accountId;
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if(!prefs_aats.spamfilter_enabled_accounts.includes(accountId)){
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taLog.log("Account " + accountId + " not enabled for spamfilter, skipping...");
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continue;
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}
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}
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let curr_prompt_spamfilter = await getSpamFilterPrompt();
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// console.log(">>>>>>>>>>>>> curr_prompt_spamfilter: " + JSON.stringify(curr_prompt_spamfilter));
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let chatgpt_lang = await taPromptUtils.getDefaultLang(curr_prompt_spamfilter);
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let specialFullPrompt_spamfilter = await taPromptUtils.preparePrompt({
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curr_prompt: curr_prompt_spamfilter,
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curr_message: message,
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chatgpt_lang: chatgpt_lang,
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body_text: body_text,
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subject_text: curr_fullMessage.headers.subject,
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msg_text: msg_text
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});
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taLog.log("Special prompt: " + specialFullPrompt_spamfilter);
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// console.log(">>>>>>>> Special prompt for spamfilter: " + specialFullPrompt_spamfilter);
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let cmd_spamfilter = new mzta_specialCommand({
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prompt: specialFullPrompt_spamfilter,
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llm: getConnectionType(prefs_aats, curr_prompt_spamfilter, 'spamfilter'),
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custom_model: curr_prompt_spamfilter.model ? curr_prompt_spamfilter.model : '',
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do_debug: prefs_aats.do_debug,
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config: curr_prompt_spamfilter
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});
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await cmd_spamfilter.initWorker();
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let spamfilter_result = '';
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taLog.log("Sending the prompt...");
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try {
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spamfilter_result = (await cmd_spamfilter.sendPrompt()).trim();
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} catch (err) {
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console.error("[ThunderAI | SpamFilter] Error getting spamfilter: ", err);
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}
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taLog.log("spamfilter_result: " + spamfilter_result);
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let jsonObj = {};
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taLog.log("Decoding the AI response...");
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try {
|
||||
jsonObj = extractJsonObject(spamfilter_result);
|
||||
} catch (e) {
|
||||
console.error("[ThunderAI | SpamFilter] Error extracting JSON from AI response: ", e);
|
||||
}
|
||||
taLog.log("SpamFilter jsonObj: " + JSON.stringify(jsonObj));
|
||||
|
||||
let report_data = {};
|
||||
report_data.report_date = new Date();
|
||||
report_data.headerMessageId = message.headerMessageId;
|
||||
report_data.spamValue = jsonObj.spamValue;
|
||||
report_data.explanation = jsonObj.explanation;
|
||||
report_data.subject = curr_fullMessage.headers.subject;
|
||||
report_data.from = curr_fullMessage.headers.from;
|
||||
report_data.message_date = new Date(message.date);
|
||||
report_data.moved = false;
|
||||
report_data.SpamThreshold = prefs_init.spamfilter_threshold;
|
||||
|
||||
if (jsonObj.spamValue >= prefs_init.spamfilter_threshold) {
|
||||
taLog.log("Marking as spam [" + message.headerMessageId + "]");
|
||||
messenger.messages.update(message.id, { junk: true });
|
||||
let spamFolder = await messenger.folders.query({ accountId: message.folder.accountId, specialUse: ['junk'] });
|
||||
messenger.messages.move([message.id], spamFolder[0].id);
|
||||
report_data.moved = true;
|
||||
taLog.log("Marked as spam [" + message.headerMessageId + "]");
|
||||
}
|
||||
|
||||
taSpamReport.saveReportData(report_data, message.headerMessageId);
|
||||
|
||||
// Check if the message is currently displayed and update the banner
|
||||
if (prefs_init.spamfilter_show_msg_panel) {
|
||||
let tabs = await browser.tabs.query({ active: true, currentWindow: true });
|
||||
if (tabs.length > 0) {
|
||||
let activeTab = tabs[0];
|
||||
let displayedMessage = await browser.messageDisplay.getDisplayedMessage(activeTab.id);
|
||||
if (displayedMessage && displayedMessage.id === message.id) {
|
||||
browser.tabs.sendMessage(activeTab.id, { command: "showSpamReport", data: report_data });
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (summarize) {
|
||||
// we have three prompts, the actual assignment for the LLM, the email
|
||||
// template prompt, and the email separator prompt
|
||||
const specialPrompts = await getSpecialPrompts();
|
||||
const prompt = specialPrompts.find((prompt) => prompt.id === 'prompt_summarize');
|
||||
const prompt_email = specialPrompts.find((prompt) => prompt.id === 'prompt_summarize_email_template');
|
||||
const prompt_email_separator = specialPrompts.find((prompt) => prompt.id === 'prompt_summarize_email_separator');
|
||||
|
||||
const tabs = await browser.tabs.query({ active: true, currentWindow: true });
|
||||
const chatgpt_lang = await taPromptUtils.getDefaultLang(prompt);
|
||||
|
||||
// replace placeholders in the prompts the assignment prompt and email
|
||||
// separator prompt do not have a message as context, so there is only
|
||||
// limited things to replace
|
||||
const prompt_string = await taPromptUtils.preparePrompt({
|
||||
curr_prompt: prompt,
|
||||
chatgpt_lang: chatgpt_lang,
|
||||
});
|
||||
const prompt_email_separator_string = await taPromptUtils.preparePrompt({
|
||||
curr_prompt: prompt_email_separator,
|
||||
chatgpt_lang: chatgpt_lang,
|
||||
});
|
||||
|
||||
|
||||
// assemble all email messages into one string and add the assignment prompt
|
||||
const messages_list = [];
|
||||
for await (let curr_message of messages) {
|
||||
|
||||
// extract body of current message as text
|
||||
const curr_message_full = await browser.messages.getFull(curr_message.id);
|
||||
const curr_body_full_html = getMailBody(curr_message_full);
|
||||
let curr_body_full_text = htmlBodyToPlainText(curr_body_full_html.html);
|
||||
if( curr_body_full_text.length === 0) {
|
||||
taLog.log("No HTML found in the message body, using plain text...");
|
||||
curr_body_full_text = curr_message_full.text;
|
||||
}
|
||||
|
||||
messages_list.push(await taPromptUtils.preparePrompt({
|
||||
curr_prompt: prompt_email,
|
||||
curr_message: curr_message,
|
||||
chatgpt_lang: chatgpt_lang,
|
||||
body_text: curr_body_full_text,
|
||||
subject_text: curr_message_full.headers.subject,
|
||||
msg_text: curr_body_full_html,
|
||||
}));
|
||||
};
|
||||
const messages_string = messages_list.join(prompt_email_separator_string);
|
||||
|
||||
const full_prompt = prompt_string + prompt_email_separator_string + messages_string;
|
||||
|
||||
// console.log(full_prompt);
|
||||
|
||||
// send the prompt to the chat interface
|
||||
openChatGPT(
|
||||
full_prompt,
|
||||
prompt.action,
|
||||
tabs[0].id,
|
||||
prompt.name,
|
||||
prompt.need_custom_text,
|
||||
prompt
|
||||
);
|
||||
}
|
||||
|
||||
taWorkingStatus.stopWorking();
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue