{"item":[{"name":"Plan","description":"规划——根据订单、表演者和交通数据,制定考虑到所有指定限制的行程。\n\n调度请求可以以同步(用于测试)和异步(用于一般用途)模式执行。\n\n要获取原始任务上的 run-plan-refine 操作的结果,请使用 [run-plan-refine](#operation/run_plan_refine)。\n","item":[{"id":"bed656ca-c00f-4858-a539-400463ec04c0","name":"Planning (ASYNC)","request":{"name":"Planning (ASYNC)","description":{"content":"Starting trip planning - after loading and checking the data, the `process_code` is returned.\n\nUsing the `process_code`, you can find out [calculation state](#operation/read_plan_state) and [get result](#operation/read_plan_result),\nand also [cancel calculation](#operation/cancel_plan_calculation) and [delete temporary data](#operation/delete_plan_result) (otherwise they will be automatically deleted according to the ttl specified in the calculation 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\"possible_events\": [\n {\n \"key\": \"demand_3_work_event\",\n \"location_key\": \"location_client_3\",\n \"duration\": \"PT15M\",\n \"hard_time_window\": {\n \"from\": \"2026-04-08T05:00:00+00:00\",\n \"to\": \"2026-04-08T07:00:00+00:00\"\n }\n }\n ]\n }\n ]\n }\n ],\n \"performers\": [\n {\n \"key\": \"performer_1\",\n \"shifts\": [\n {\n \"key\": \"performer_1_shift\",\n \"availability_time\": {\n \"from\": \"2026-04-07T21:00:00+00:00\",\n \"to\": \"2026-04-08T20:59:59+00:00\"\n },\n \"working_time\": {\n \"from\": \"2026-04-07T21:00:00+00:00\",\n \"to\": \"2026-04-08T20:59:59+00:00\"\n },\n \"tariff\": {\n \"cost_per_shift\": 1000,\n \"constraints\": [\n {\n \"stage_length\": \"PT10H\",\n \"cost_per_unit\": 1\n }\n ]\n }\n }\n ]\n }\n ],\n \"transports\": [\n {\n \"key\": \"transport_1\",\n \"shifts\": [\n {\n \"key\": \"transport_1_shift\",\n \"availability_time\": {\n \"from\": \"2026-04-07T21:00:00+00:00\",\n \"to\": \"2026-04-08T20:59:59+00:00\"\n },\n \"tariff\": {\n 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\"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n },\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_2_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:00:00Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_2\",\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n },\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_2_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:00:00Z\",\n \"flags\": [\n \"ON_DEMAND\",\n \"INSIDE_EVENT_HARD_WINDOW\",\n \"INSIDE_LOCATION_WINDOW\",\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"order_key\": \"order_2\",\n \"demand_key\": \"demand_2_drop\",\n \"event_key\": \"demand_2_drop_event\",\n \"location_key\": 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\"2026-04-08T05:38:39Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:38:39Z\",\n \"flags\": [\n \"ON_DEMAND\",\n \"INSIDE_EVENT_HARD_WINDOW\",\n \"INSIDE_LOCATION_WINDOW\",\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"order_key\": \"order_3\",\n \"demand_key\": \"demand_3_work\",\n \"event_key\": \"demand_3_work_event\",\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:53:39Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n }\n ],\n \"waitlist\": [],\n \"attributes\": []\n }\n ]\n}","options":{"raw":{"headerFamily":"json","language":"json"}}}},"header":[],"cookie":[],"_postman_previewlanguage":"text"}],"event":[],"protocolProfileBehavior":{"disableBodyPruning":true}}]},{"name":"Actualize","description":"更新航班 - 根据事实更新完成订单的计划时间,而不更改绕行订单。\n\n更新分为三个阶段进行——验证、事实应用、未完成航班状态的时间规划。\n\n要获得清理结果并将事实应用于原始任务,请使用[数据清理](#operation/run_actualize_refine)函数。\n\n由此产生的航班不会改变表演者、运输或订单执行顺序,并且仅包含那些尚待完成的工作。\n\n无法完成的订单仍分配给表演者并进入“等候名单”。\n\n现有航班的核算:\n\n* 航班转变为“硬链接”目的地 - 即分配的表演者和交通班次不能用于其他航班。\n* 替换事件从请求中删除,并使用“precedence_in_trip”固定执行顺序,如果请求已经指定了执行顺序,则会被覆盖。\n\n当前时间核算:\n\n* 如果数据中没有指定当前时间 `actualize_settings.current_time`,则使用服务器收到请求的时间。\n* 仅考虑在“actualize_settings.current_time”之前发生的事件。\n* 如果当前时间大于所有事件和移位的时间窗口的左边界,则将左边界移至当前时间。\n* 所有事件和班次的时间窗口右边界添加了允许延迟时间“actualize_settings.max_delay_duration”。\n* 仅当订单持续时间不允许订单在软时间窗口内完成时,才会调整软时间窗口。\n\n考虑到改变位置“NEW_LOCATION”的事实:\n\n* 考虑到这一事实,“位置”列表必须包含一个描述表演者当前坐标的新位置。\n* 如果航班已经开始(实际时间晚于航班预定的开始时间)——运输工具被视为与表演者位于同一位置——即执行者和运输工具的“start_location_key”发生变化。\n* 如果航班尚未开始(实际时间早于航班预定的开始时间)——只有表演者的初始位置会发生变化,交通工具的位置仍保持原始数据。\n* 如果有多个事实,则仅考虑“时间”字段中最新的事实。\n\n考虑订单“ORDER_DONE”完成的事实:\n\n* 订单、其请求以及与其相关的位置将从更新数据中删除。\n* 货物视为已从运输工具上卸下。\n\n考虑到有关开始应用程序`DEMAND_START`工作的事实:\n\n* 每个航班只允许一个未关闭的“DEMAND_START”事实(由“DEMAND_DONE”事实关闭)——由于执行者一次只能满足一个请求,因此会考虑“时间”字段的最新事实。\n* 处理请求所花费的时间会减少已经花费的时间(计算为“DEMAND_START”事实和“actualize_settings.current_time”之间的间隔长度)。\n* 如果某个申请上存在与指定航班的计划顺序相矛盾的工作事实,则将首先完成该申请,然后继续按照计划顺序进行航班。\n* 有关订单的事实比有关该订单的申请的事实具有更高的优先级(如果有关申请的事实与有关订单的事实相矛盾,则不会予以考虑)。\n\n考虑有关“DEMAND_DONE”订单部分履行的事实:\n\n* 如果订单的所有请求都得到满足,则认为订单完成(操作类似于处理事实“ORDER_DONE”)。\n* 如果“WORK”类型的请求已完成,则该请求将从订单中删除。\n* 如果执行了`DROP`类型的请求,则该请求及其货物,以及相应的`PICKUP`类型的请求都将从订单中删除。\n* 如果执行了类型为“DROP_FROM_BOX”的请求,则该请求及其货物将从订单中移除。\n* 如果订单中有`PICKUP`类型的请求,那么对应的`DROP`类型的请求将会被转换为`DROP_FROM_BOX`类型的请求。\n* 如果执行了 `PICKUP_TO_BOX` 类型的请求,则会删除请求和货物,并且相应隔间的运输容量会减少(在这种情况下,不会进行兼容性更改)。\n","item":[{"id":"bd3e7052-d5dc-4b0b-a797-48e2eb22e70d","name":"Actualization (ASYNC)","request":{"name":"Actualization (ASYNC)","description":{"content":"Start updating existing trips - after loading and checking the data, the calculation identifier `process_code` is returned.\n\nUsing `process_code` you can find out [calculation state](#operation/read_actualize_state) and [get result](#operation/read_actualize_result),\nand also [cancel calculation](#operation/cancel_actualize_calculation) and [delete temporary data](#operation/delete_actualize_result) (otherwise they will be automatically deleted according to the ttl specified in the calculation settings).\n\nAn actualize task can be transformed into a planning task using [data processing](#operation/run_actualize_refine).\n","type":"text/plain"},"url":{"path":["universal","actualize","calculation-async"],"host":["{{baseUrl}}"],"query":[],"variable":[]},"header":[{"key":"Content-Type","value":"application/json"},{"key":"Accept","value":"application/json"}],"method":"POST","body":{"mode":"raw","raw":"{\n \"locations\": [\n {\n \"key\": 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\"location_key\": \"location_client_2\",\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n },\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_2_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:10:00Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_2\",\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:10:00Z\",\n \"flags\": [\n \"RELOCATING\"\n ],\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:20:52Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_1\",\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:20:52Z\",\n \"flags\": [\n \"ON_DEMAND\",\n \"INSIDE_EVENT_HARD_WINDOW\",\n \"INSIDE_LOCATION_WINDOW\",\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"order_key\": \"order_1\",\n \"demand_key\": \"demand_1_drop\",\n \"event_key\": \"demand_1_drop_event\",\n \"location_key\": \"location_client_1\",\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:30:52Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_1\",\n \"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:30:52Z\",\n \"flags\": [\n \"RELOCATING\"\n ],\n \"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:38:39Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:38:39Z\",\n \"flags\": [\n \"ON_DEMAND\",\n \"INSIDE_EVENT_HARD_WINDOW\",\n \"INSIDE_LOCATION_WINDOW\",\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"order_key\": \"order_3\",\n \"demand_key\": \"demand_3_work\",\n \"event_key\": \"demand_3_work_event\",\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:53:39Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n }\n ],\n \"waitlist\": [],\n \"attributes\": []\n }\n ],\n \"actualize_settings\": {\n \"current_time\": \"2026-04-07T22:30:00Z\",\n \"max_delay_duration\": \"PT1H\"\n }\n}","options":{"raw":{"headerFamily":"json","language":"json"}}}},"header":[],"cookie":[],"_postman_previewlanguage":"text"}],"event":[],"protocolProfileBehavior":{"disableBodyPruning":true}}]},{"name":"Replan","description":"Replanning - creating new trips based on existing trips, taking into account the facts.\n\nReplanning takes place in several stages - checking, applying facts and creating constraints for planning based on existing trips, planning.\n\nTo get the result of cleaning and applying facts to the original task, use [data processing](#operation/run_replan_refine).\n\nDepending on the replanning settings, the task can be reduced to planning (when everything is allowed `reorder: true, plan_new_orders: true, create_new_trips: true`) or to updating (when everything is prohibited `reorder: false, plan_new_orders: false, create_new_trips: false`).\n\nOrders that cannot be completed remain assigned to the performer and end up in the `waitlist`.\n\nAccounting for existing trips, current time and the order of applying facts - the logic from [actualization](#tag/Actualize) is used, taking into account the selected strategy:\n\n\n","item":[{"id":"548bb8fc-8ed4-41d4-9e95-70b8a96144e3","name":"Replanning (ASYNC)","request":{"name":"Replanning (ASYNC)","description":{"content":"Starting trip replanning - changing existing and creating new trips based on the facts and data about orders, performers and transport.\n \nAfter loading and checking the data, the `process_code` is returned.\n\nUsing the `process_code`, you can find out [calculation state](#operation/read_replan_state) and [get result](#operation/read_replan_result),\nand also [cancel calculation](#operation/cancel_replan_calculation) and [delete temporary data](#operation/delete_replan_result) (otherwise they will be automatically deleted according to the ttl specified in the calculation settings).\n\nAn replan task can be transformed into a plan task using [data processing](#operation/run_replan_refine).\n","type":"text/plain"},"url":{"path":["universal","replan","calculation-async"],"host":["{{baseUrl}}"],"query":[],"variable":[]},"header":[{"key":"Content-Type","value":"application/json"},{"key":"Accept","value":"application/json"}],"method":"POST","body":{"mode":"raw","raw":"{\n \"locations\": [\n {\n \"key\": \"location_client_1\",\n \"geopoint\": {\n \"latitude\": 55.713699,\n \"longitude\": 37.621839\n }\n },\n {\n \"key\": \"location_client_2\",\n \"geopoint\": {\n \"latitude\": 55.630721,\n \"longitude\": 37.62493\n }\n },\n {\n \"key\": \"location_client_3\",\n \"geopoint\": {\n \"latitude\": 55.722801,\n \"longitude\": 37.674984\n }\n },\n {\n \"key\": \"location_storage\",\n \"geopoint\": {\n \"latitude\": 55.685853,\n \"longitude\": 37.43181\n }\n }\n ],\n \"orders\": [\n {\n \"key\": \"order_1\",\n \"demands\": [\n {\n \"key\": \"demand_1_drop\",\n \"demand_type\": \"DROP\",\n \"target_cargos\": [\n \"order_1_cargos\"\n ],\n 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\"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:10:00Z\",\n \"flags\": [\n \"RELOCATING\"\n ],\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:20:52Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_1\",\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n \"cargo_action_type\": \"ADD\"\n }\n ],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:20:52Z\",\n \"flags\": [\n \"ON_DEMAND\",\n \"INSIDE_EVENT_HARD_WINDOW\",\n \"INSIDE_LOCATION_WINDOW\",\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"order_key\": \"order_1\",\n \"demand_key\": \"demand_1_drop\",\n \"event_key\": \"demand_1_drop_event\",\n \"location_key\": \"location_client_1\",\n \"cargo_actions\": [\n {\n \"box_key\": \"box_1\",\n \"cargo_key\": \"order_1_cargos\",\n 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\"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:53:39Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n }\n ],\n \"waitlist\": [],\n \"attributes\": []\n }\n ]\n}","options":{"raw":{"headerFamily":"json","language":"json"}}},"auth":null},"response":[{"id":"b0902e6e-5340-454b-9397-7c82edf66d1b","name":"Calculation completed successfully","originalRequest":{"url":{"path":["universal","replan","calculation"],"host":["{{baseUrl}}"],"query":[],"variable":[]},"header":[{"key":"Content-Type","value":"application/json"},{"key":"Accept","value":"application/json"},{"description":{"content":"Added as a part of security scheme: bearer","type":"text/plain"},"key":"Authorization","value":"Bearer "}],"method":"POST","body":{"mode":"raw","raw":"{\n \"locations\": [\n {\n \"key\": \"location_client_1\",\n \"geopoint\": {\n \"latitude\": 55.713699,\n \"longitude\": 37.621839\n }\n },\n {\n \"key\": \"location_client_2\",\n \"geopoint\": {\n \"latitude\": 55.630721,\n \"longitude\": 37.62493\n }\n },\n {\n \"key\": \"location_client_3\",\n \"geopoint\": {\n \"latitude\": 55.722801,\n \"longitude\": 37.674984\n }\n },\n {\n \"key\": \"location_storage\",\n \"geopoint\": {\n \"latitude\": 55.685853,\n \"longitude\": 37.43181\n }\n }\n ],\n \"orders\": [\n {\n \"key\": \"order_1\",\n \"demands\": [\n {\n \"key\": \"demand_1_drop\",\n \"demand_type\": \"DROP\",\n \"target_cargos\": [\n \"order_1_cargos\"\n ],\n \"possible_events\": [\n {\n \"key\": \"demand_1_drop_event\",\n \"location_key\": \"location_client_1\",\n \"duration\": \"PT10M\",\n \"hard_time_window\": {\n \"from\": \"2026-04-08T05:00:00+00:00\",\n \"to\": \"2026-04-08T07:00:00+00:00\"\n }\n }\n ]\n },\n {\n \"key\": \"demand_1_pickup\",\n \"demand_type\": \"PICKUP\",\n \"target_cargos\": [\n \"order_1_cargos\"\n ],\n \"possible_events\": [\n {\n \"key\": 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\"flags\": [\n \"ON_DEMAND\",\n \"INSIDE_EVENT_HARD_WINDOW\",\n \"INSIDE_LOCATION_WINDOW\",\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"order_key\": \"order_3\",\n \"demand_key\": \"demand_3_work\",\n \"event_key\": \"demand_3_work_event\",\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n },\n {\n \"time\": \"2026-04-08T05:53:39Z\",\n \"flags\": [\n \"INSIDE_LOCATION\",\n \"AROUND_LOCATION\"\n ],\n \"location_key\": \"location_client_3\",\n \"cargo_actions\": [],\n \"attributes\": []\n }\n ],\n \"waitlist\": [],\n \"attributes\": []\n }\n ]\n}","options":{"raw":{"headerFamily":"json","language":"json"}}}},"header":[],"cookie":[],"_postman_previewlanguage":"text"}],"event":[],"protocolProfileBehavior":{"disableBodyPruning":true}},{"id":"550f565a-5619-454b-99a3-ad574a8e85a2","name":"Data refine","request":{"name":"Data refine","description":{"content":"Cleaning up data for re-planning before calculation:\n * If one entity is referenced by several facts, only the latest one by the time field is taken into account; if the time is the same, a random one is taken into account.\n * All facts that occurred later than `actualize_settings.current_time` are deleted.\n * If `plan_new_orders: false` is specified - all orders that are not in the specified trips are removed from the original task.\n * If `create_new_trips: false` is specified - all performers and transport that are not in the specified trips are removed from the original task, and unplanned shifts of performers and transport that are in the specified trips are also removed.\n * Afterwards, [cleaning up data for planning](#operation/run_plan_refine) is performed.\n\nAs a result, a task for planning is returned.\n","type":"text/plain"},"url":{"path":["universal","replan","refine"],"host":["{{baseUrl}}"],"query":[{"disabled":true,"description":{"content":"Flag responsible for deleting a location when cleaning data. 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|\n|-----------------|--------------------------------------------|\n| **api_version** | API version at the time of XLSX generation |\n| **timezone** | Time zone, used in all times in the data |\n| docs_ru | Link to documentation (RU) |\n| docs_en | Link to documentation (EN) |\n| docs_zh | Link to documentation (ZH) |\n\n## Locations\n\nThe name of the sheet `locations`.\n\nList of locations that are used in orders and shifts.\n\nThe described object:\n\n\n## Performers\n\nThe name of the sheet is `performers`.\n\nList of available performers.\n\nThe described object:\n\n\n## Transports\n\nThe name of the sheet `transports`.\n\nList of available transport.\n\nThe described object:\n\n\n## Boxes\n\nThe name of the sheet is `transports.boxes`.\n\nList of transport boxes that can accommodate the load.\nThe table is mandatory if there are orders with applications of types of `PICKUP` and `DROP`.\nIn the description of the boxes, those fields that describe cargo are required.\n\nThe 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执行者可用时间表——可执行移动或地点工作的时段列表\n* 执行者在特定时间段内的最大工作时长\n\n**运输工具**的限制:\n\n* 起始/结束位置\n* 运输工具可用时间表——可执行移动的时段列表\n* 路线最大长度\n* 多个隔间,每个隔间有独立参数\n* 总容量上限(重量、体积、订单数、申请数)\n\n**订单**的限制:\n\n* 严格时间窗口\n* 可指定地点工作窗口与申请执行窗口的不同允许范围\n* 路线内申请执行顺序的验证\n* 期望执行时间窗口列表(每个窗口对应不同成本)\n\n## 兼容性验证\n\n若一实体的属性列表完全覆盖另一实体的要求列表,则视为兼容(`performer_blacklist` 相反——列表不得重叠)。\n\n支持的兼容性:\n\n| 名称 | 要求 | 属性 |\n|---------------------|----------------------------|--------------------------|\n| 订单 - 执行者 | order.performer_restrictions | performer.performer_features |\n| 订单 - 非执行者 | order.performer_blacklist | performer.performer_features |\n| 货物 - 隔间 | order.cargo.box_restrictions | transport.box.box_features |\n| 地点 - 运输工具 | location.transport_restrictions | transport.transport_features |\n| 运输工具 - 执行者 | transport.performer_restrictions | performer.performer_features |\n| 执行者 - 运输工具 | performer.transport_restrictions | transport.transport_features |\n| 订单 - 订单 | order.order_restrictions | order.order_features |\n| 货物 - 货物 | cargo.cargo_restrictions | cargo.cargo_features |\n\n业务规则示例:\n\n| 名称 | 业务规则示例 |\n|---------------------|-----------------------------------------------------------------------------|\n| 订单 - 执行者 | 执行订单的驾驶员需持有特殊许可证 |\n| 订单 - 非执行者 | 黑名单中的驾驶员 |\n| 货物 - 隔间 | 运输冷冻产品需配备特殊温控隔间 |\n| 地点 - 运输工具 | 运输工具高度限制 |\n| 运输工具 - 执行者 | 驾驶货运车辆需持有 `C` 类驾照 |\n| 执行者 - 运输工具 | 驾驶员仅允许操作特定运输工具 |\n| 订单 - 订单 | 禁止在同一隔间同时运输鱼类和水果 |\n| 货物 - 货物 | 两件货物不可同时置于同一隔间,但可顺序放置 |\n\n## 分配机制\n\n分配机制(`hardlinks`)用于指定订单、执行者和运输工具必须处于同一航班的要求。\n\n分配仅保证实体处于同一航班,不保证实际规划结果。例如,若执行者无法按时完成订单,则不会被规划,但仍会被分配至航班(进入 `waitlist`)。\n\n分配不覆盖已定义的兼容性(及兼容性违规的惩罚)。例如,若订单无法由执行者完成,则不会被规划,但仍会被分配至航班(进入 `waitlist`)。\n\n## 货物在车厢内的放置\n\n支持以下旋转方式(以 90 度为步长):\n\n* `ALL`——可绕任意轴多次旋转\n* `YAW`——可绕垂直轴(自转轴)旋转一次\n* `PITCH`——可绕横向轴(垂直方向)旋转一次\n* `ROLL`——可绕纵向轴(侧放)旋转一次\n\n![rotation](../images/universal_cargo_yaw_pitch_roll.svg)\n\n## 航班模型\n\n航班通过执行者状态列表描述,执行者可同时处于多个状态(例如在地点工作窗口内并在同一地点执行订单)。\n\n地理位置标志(可同时多个生效):\n\n* `AROUND_LOCATION`——执行者位于地点附近(正在停车或驶离)\n* `INSIDE_LOCATION`——执行者位于地点内\n\n时间窗口标志(可同时多个生效):\n\n* `INSIDE_WORKING_WINDOW`——执行者处于工作时段内\n* `INSIDE_LOCATION_WINDOW`——执行者处于地点开放时段内\n* `INSIDE_EVENT_HARD_WINDOW`——执行者处于硬性时间窗口内\n* `INSIDE_EVENT_SOFT_WINDOW`——执行者处于柔性时间窗口内\n\n动作标志(仅一个生效):\n\n* `ON_DEMAND`——执行者开始处理申请\n* `WAITING`——执行者开始等待\n* `RELOCATING`——执行者开始移动至下一站点\n* `BREAK`——执行者开始休息\n* `REST`——执行者开始长时间休息\n* `ARRIVAL`——执行者开始停车\n* `DEPARTURE`——执行者完成驶离\n\n逻辑状态标志:\n\n* `DURING_ROUNDTRIP`——执行者正在执行循环航班\n\n### 多状态路线示例\n\n| 时间 | 激活标志组合 | 地点 / 订单 / 申请 / 事件 | 备注 |\n|:-------|:----------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------|:------------------------------|\n| 10:00 | INSIDE_LOCATION
AROUND_LOCATION | 2 / - / - / - | 起始地点 |\n| 10:05 | AROUND_LOCATION
DEPARTURE | 2 / - / - / - | 驶离停车点 |\n| 10:10 | RELOCATING
DEPARTURE | 2 / - / - / - | 前往第一个订单 |\n| 10:20 | AROUND_LOCATION
ARRIVAL | 2 / - / - / - | 到达第一个订单地点 |\n| 10:40 | AROUND_LOCATION
INSIDE_LOCATION
WAITING | 2 / - / - / - | 完成停车 |\n| 11:00 | AROUND_LOCATION
INSIDE_LOCATION
INSIDE_LOCATION_WINDOW
WAITING
INSIDE_EVENT_HARD_WINDOW | 2 / - / - / - | 等待地点开放与订单可用时间重叠 |\n| 11:25 | AROUND_LOCATION
INSIDE_LOCATION
INSIDE_LOCATION_WINDOW
ON_DEMAND
INSIDE_WORKING_WINDOW
INSIDE_EVENT_HARD_WINDOW | 2 / 1 / 2 / 3 | 等待执行者切换 |\n| 11:30 | AROUND_LOCATION
INSIDE_LOCATION
INSIDE_LOCATION_WINDOW
ON_DEMAND
INSIDE_WORKING_WINDOW
INSIDE_EVENT_HARD_WINDOW
INSIDE_EVENT_SOFT_WINDOW | 2 / 1 / 2 / 3 | 工作中触发柔性窗口 |\n| 11:40 | AROUND_LOCATION
INSIDE_LOCATION
INSIDE_LOCATION_WINDOW
INSIDE_WORKING_WINDOW | 2 / - / - / - | 完成工作 |\n| 11:45 | AROUND_LOCATION
DEPARTURE
INSIDE_WORKING_WINDOW | 2 / - / - /- | 驶离停车点 |\n| 11:45 | RELOCATING
INSIDE_WORKING_WINDOW | - / - / - / - | 前往下一订单 |\n\n## 循环航班\n\n航班由一个或多个循环航班组成。\n\n循环航班标志 `DURING_ROUNDTRIP` 在开始处理申请时激活,并在以下三种情况之一解除:\n\n* 执行者到达某地点以停止使用运输工具\n* 执行者到达分割循环航班的地点\n* 执行者在非分割点地点完成其他操作后停止使用运输工具\n\n两个循环航班之间不可插入 `RELOCATING` 状态,但允许插入 `WAITING`、`BREAK`、`REST`。\n\n分割航班循环的地点需满足以下条件之一:\n\n* 地点设置了通行能力限制 `timetable.limits`(可能有多个分割点)\n* 地点同时是所有执行者、运输工具及 `PICKUP` 类型申请的起止点(仅一个分割点)\n\n示例分割点(根据任务设定):\n\n* 配送中心(长途运输至商店或仓库)\n* 商店或仓库(最后一公里配送至客户)\n* 垃圾填埋场(垃圾清运任务)\n\n## 规划配置\n\n每个规划任务可指定配置,以定义目标函数、路线质量与计算速度。\n\n规划配置名称通过字段 `trips_settings.configuration` 传递。\n\n主要配置:\n\n| 名称 | 目标 |\n|-----------------------------|----------------------------------------------------------------------------------------------------|\n| **optimize_distance** | 尽可能安排更多订单,然后优化总里程(根据里程选择运输工具数量),默认配置 |\n| **optimize_transports** | 尽可能安排更多订单,同时最小化运输工具使用量,条件相同时优化执行者工作时间 |\n| **optimize_locality_grouping** | 尽可能安排更多订单,同时优化路线的视觉分组(不减少路线数量) |\n| **optimize_cars_then_distance** | 尽可能安排更多订单,先优化运输工具数量,再优化里程 |\n| **optimize_time** | 尽可能安排更多订单,然后优化执行者总工作时间 |\n| **optimize_cars_then_time** | 尽可能安排更多订单,先优化运输工具数量,再优化执行者总工作时间 |\n| **optimize_money** | 优化“利润-成本”(基于订单奖励与执行者、运输工具成本,确保非负) |\n\n附加配置:\n\n| 名称 | 目标 |\n|-------------------------------------------------------|----------------------------------------------------------------------------------------------------|\n| **visual_grouping** | 尽可能安排更多订单,同时最小化运输工具并使路线视觉分组 |\n| **optimize_visual_grouping** | 尽可能安排更多订单,然后根据交通可达区域均匀分配订单(视觉分组逻辑不同) |\n| **optimize_cars_then_locality_grouping** | 尽可能安排更多订单,先优化运输工具数量,再优化路线视觉分组 |\n| **optimize_cars_then_single_location_grouping_sequenced** | 尽可能安排更多订单,先优化运输工具数量,再优化可靠性 |\n\n可根据客户业务流程定制目标函数([申请配置](mailto:support@veeroute.com))。\n\n开发推荐使用 **optimize_cars_then_distance**,因该配置无需详细设置费率与订单成本。\n\n## 数据验证\n\n输入数据验证包含以下步骤:\n\n### 1. 模式检查\n\n若请求不符合模式,则规划整体终止,返回 400 错误及 `schema_errors`。\n\n建议在发送前通过模式(或 YAML 文件)验证请求。\n\n### 2. 逻辑错误检查(阻止规划继续)\n\n符合模式的数据将检查是否存在使规划无法进行的逻辑错误。\n\n示例错误:引用空实体、所有订单与执行者不兼容等。返回 400 错误及 `logical_errors`。\n\n### 3. 实体单独检查\n\n未通过检查的实体将从规划任务中移除。\n\n根据 `treat_warnings_as_errors` 设置,结果以 400 错误返回至 `warnings` 或包含在规划结果中。\n\n### 4. 规划过程中的检查\n\n部分检查仅在规划过程中执行(例如根据费率与交通预测无法到达某地点)。结果返回至 `warnings` 或规划结果中。\n\n## 实体关系图\n\n![erd](../uml/universal.svg)\n\n\nContact Support:\n Name: Veeroute Support Team\n Email: support@veeroute.com","type":"text/plain"}}}