User#
pyticktick.models.v2.responses.user
#
Pydantic models for user-related data returned by the TickTick API.
Unofficial API
These models are part of the unofficial TickTick API. They were created by reverse engineering the API. They may be incomplete or inaccurate.
Classes:
Name | Description |
---|---|
ScoreByDayV2 |
The user's score for each day. |
TaskByDayV2 |
The number of tasks both completed and not completed for a given day. |
TaskByMonthV2 |
The number of tasks both completed and not completed for a given month. |
TaskByWeekV2 |
The number of tasks both completed and not completed for a given week. |
TaskCountV2 |
Model that represents the current task count for a given time period. |
UserProfileV2 |
Model containing the user's profile information. |
UserSignOnV2 |
Model for the response of a sign-on request via the V2 API. |
UserSignOnWithTOTPV2 |
Model for the response of a sign-on request via the V2 API with TOTP. |
UserStatisticsV2 |
Model for the response of a user statistics request via the V2 API. |
UserStatusV2 |
Model for the response of a user status request via the V2 API. |
TaskByDayV2
#
Bases: RootModel[dict[date, TaskCountV2]]
The number of tasks both completed and not completed for a given day.
TaskByMonthV2
#
Bases: RootModel[dict[date, TaskCountV2]]
The number of tasks both completed and not completed for a given month.
TaskByWeekV2
#
Bases: RootModel[dict[date, TaskCountV2]]
The number of tasks both completed and not completed for a given week.
TaskCountV2
pydantic-model
#
Bases: BaseModelV2
Model that represents the current task count for a given time period.
Show JSON schema:
{
"additionalProperties": false,
"description": "Model that represents the current task count for a given time period.",
"properties": {
"completeCount": {
"title": "Completecount",
"type": "integer"
},
"notCompleteCount": {
"title": "Notcompletecount",
"type": "integer"
}
},
"required": [
"completeCount",
"notCompleteCount"
],
"title": "TaskCountV2",
"type": "object"
}
Fields:
-
complete_count
(int
) -
not_complete_count
(int
)
Validators:
empty_str_to_none
pydantic-validator
#
empty_str_to_none(v: Any) -> Any
Convert empty strings to None.
TickTick API responses sometimes conflates None
and empty strings for
optional fields. This validator ensures that empty strings are converted to
None
, which then allows for more consistent handling of the data within the
library.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
v
|
Any
|
The value to validate. |
required |
Returns:
Name | Type | Description |
---|---|---|
Any |
Any
|
The input value if it is not an empty string, otherwise |
Source code in src/pyticktick/models/v2/models.py
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|
UserProfileV2
pydantic-model
#
Bases: BaseModelV2
Model containing the user's profile information.
Show JSON schema:
{
"additionalProperties": false,
"description": "Model containing the user's profile information.",
"properties": {
"etimestamp": {
"title": "Etimestamp"
},
"username": {
"format": "email",
"title": "Username",
"type": "string"
},
"siteDomain": {
"title": "Sitedomain",
"type": "string"
},
"createdCampaign": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Createdcampaign"
},
"createdDeviceInfo": {
"title": "Createddeviceinfo"
},
"filledPassword": {
"title": "Filledpassword",
"type": "boolean"
},
"accountDomain": {
"title": "Accountdomain"
},
"extenalId": {
"title": "Extenalid"
},
"email": {
"title": "Email"
},
"verifiedEmail": {
"title": "Verifiedemail",
"type": "boolean"
},
"fakedEmail": {
"title": "Fakedemail",
"type": "boolean"
},
"phone": {
"title": "Phone"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Name"
},
"givenName": {
"title": "Givenname"
},
"familyName": {
"title": "Familyname"
},
"link": {
"title": "Link"
},
"picture": {
"title": "Picture",
"type": "string"
},
"gender": {
"title": "Gender"
},
"locale": {
"title": "Locale",
"type": "string"
},
"userCode": {
"format": "uuid4",
"title": "Usercode",
"type": "string"
},
"verCode": {
"title": "Vercode"
},
"verKey": {
"title": "Verkey"
},
"externalId": {
"title": "Externalid"
},
"phoneWithoutCountryCode": {
"title": "Phonewithoutcountrycode"
},
"displayName": {
"title": "Displayname",
"type": "string"
}
},
"required": [
"etimestamp",
"username",
"siteDomain",
"createdCampaign",
"createdDeviceInfo",
"filledPassword",
"accountDomain",
"extenalId",
"email",
"verifiedEmail",
"fakedEmail",
"phone",
"givenName",
"familyName",
"link",
"picture",
"gender",
"locale",
"userCode",
"verCode",
"verKey",
"externalId",
"phoneWithoutCountryCode",
"displayName"
],
"title": "UserProfileV2",
"type": "object"
}
Fields:
-
etimestamp
(Any
) -
username
(EmailStr
) -
site_domain
(str
) -
created_campaign
(str | None
) -
created_device_info
(Any
) -
filled_password
(bool
) -
account_domain
(Any
) -
extenal_id
(Any
) -
email
(Any
) -
verified_email
(bool
) -
faked_email
(bool
) -
phone
(Any
) -
name
(str | None
) -
given_name
(Any
) -
family_name
(Any
) -
link
(Any
) -
picture
(str
) -
gender
(Any
) -
locale
(str
) -
user_code
(UUID4
) -
ver_code
(Any
) -
ver_key
(Any
) -
external_id
(Any
) -
phone_without_country_code
(Any
) -
display_name
(str
)
Validators:
empty_str_to_none
pydantic-validator
#
empty_str_to_none(v: Any) -> Any
Convert empty strings to None.
TickTick API responses sometimes conflates None
and empty strings for
optional fields. This validator ensures that empty strings are converted to
None
, which then allows for more consistent handling of the data within the
library.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
v
|
Any
|
The value to validate. |
required |
Returns:
Name | Type | Description |
---|---|---|
Any |
Any
|
The input value if it is not an empty string, otherwise |
Source code in src/pyticktick/models/v2/models.py
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|
UserSignOnV2
pydantic-model
#
Bases: BaseModelV2
Model for the response of a sign-on request via the V2 API.
The most important field is token
, which is used for authentication during a
session.
Show JSON schema:
{
"additionalProperties": false,
"description": "Model for the response of a sign-on request via the V2 API.\n\nThe most important field is `token`, which is used for authentication during a\nsession.",
"properties": {
"inboxId": {
"description": "The user's inbox ID.",
"title": "Inboxid",
"type": "string"
},
"token": {
"description": "The user's authentication token that is used for short-term authentication.",
"title": "Token",
"type": "string"
},
"userId": {
"description": "The user's ID.",
"title": "Userid",
"type": "string"
},
"username": {
"description": "The user's email address.",
"format": "email",
"title": "Username",
"type": "string"
},
"activeTeamUser": {
"title": "Activeteamuser",
"type": "boolean"
},
"ds": {
"title": "Ds",
"type": "boolean"
},
"freeTrial": {
"title": "Freetrial",
"type": "boolean"
},
"freq": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Freq"
},
"gracePeriod": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Graceperiod"
},
"needSubscribe": {
"title": "Needsubscribe",
"type": "boolean"
},
"pro": {
"title": "Pro",
"type": "boolean"
},
"proEndDate": {
"title": "Proenddate",
"type": "string"
},
"proStartDate": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Prostartdate"
},
"subscribeFreq": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Subscribefreq"
},
"subscribeType": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Subscribetype"
},
"teamPro": {
"title": "Teampro",
"type": "boolean"
},
"teamUser": {
"title": "Teamuser",
"type": "boolean"
},
"userCode": {
"format": "uuid4",
"title": "Usercode",
"type": "string"
}
},
"required": [
"inboxId",
"token",
"userId",
"username",
"activeTeamUser",
"ds",
"freeTrial",
"needSubscribe",
"pro",
"proEndDate",
"teamPro",
"teamUser",
"userCode"
],
"title": "UserSignOnV2",
"type": "object"
}
Fields:
-
inbox_id
(str
) -
token
(str
) -
user_id
(str
) -
username
(EmailStr
) -
active_team_user
(bool
) -
ds
(bool
) -
free_trial
(bool
) -
freq
(str | None
) -
grace_period
(bool | None
) -
need_subscribe
(bool
) -
pro
(bool
) -
pro_end_date
(str
) -
pro_start_date
(str | None
) -
subscribe_freq
(str | None
) -
subscribe_type
(str | None
) -
team_pro
(bool
) -
team_user
(bool
) -
user_code
(UUID4
)
Validators:
token
pydantic-field
#
token: str
The user's authentication token that is used for short-term authentication.
empty_str_to_none
pydantic-validator
#
empty_str_to_none(v: Any) -> Any
Convert empty strings to None.
TickTick API responses sometimes conflates None
and empty strings for
optional fields. This validator ensures that empty strings are converted to
None
, which then allows for more consistent handling of the data within the
library.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
v
|
Any
|
The value to validate. |
required |
Returns:
Name | Type | Description |
---|---|---|
Any |
Any
|
The input value if it is not an empty string, otherwise |
Source code in src/pyticktick/models/v2/models.py
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|
UserSignOnWithTOTPV2
pydantic-model
#
Bases: BaseModelV2
Model for the response of a sign-on request via the V2 API with TOTP.
This model is used when the user has enabled two-factor authentication (2FA) via TOTP (Time-based One-Time Password).
Show JSON schema:
{
"additionalProperties": false,
"description": "Model for the response of a sign-on request via the V2 API with TOTP.\n\nThis model is used when the user has enabled two-factor authentication (2FA) via\nTOTP (Time-based One-Time Password).",
"properties": {
"authId": {
"description": "The authentication ID used for the sign-on request.",
"title": "Authid",
"type": "string"
},
"expireTime": {
"description": "The expiration time of the authentication ID in seconds since the epoch.",
"title": "Expiretime",
"type": "integer"
}
},
"required": [
"authId",
"expireTime"
],
"title": "UserSignOnWithTOTPV2",
"type": "object"
}
Fields:
-
auth_id
(str
) -
expire_time
(int
)
Validators:
expire_time
pydantic-field
#
expire_time: int
The expiration time of the authentication ID in seconds since the epoch.
empty_str_to_none
pydantic-validator
#
empty_str_to_none(v: Any) -> Any
Convert empty strings to None.
TickTick API responses sometimes conflates None
and empty strings for
optional fields. This validator ensures that empty strings are converted to
None
, which then allows for more consistent handling of the data within the
library.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
v
|
Any
|
The value to validate. |
required |
Returns:
Name | Type | Description |
---|---|---|
Any |
Any
|
The input value if it is not an empty string, otherwise |
Source code in src/pyticktick/models/v2/models.py
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|
UserStatisticsV2
pydantic-model
#
Bases: BaseModelV2
Model for the response of a user statistics request via the V2 API.
Show JSON schema:
{
"$defs": {
"ScoreByDayV2": {
"additionalProperties": {
"type": "integer"
},
"description": "The user's score for each day.",
"propertyNames": {
"format": "date"
},
"title": "ScoreByDayV2",
"type": "object"
},
"TaskByDayV2": {
"additionalProperties": {
"$ref": "#/$defs/TaskCountV2"
},
"description": "The number of tasks both completed and not completed for a given day.",
"propertyNames": {
"format": "date"
},
"title": "TaskByDayV2",
"type": "object"
},
"TaskByMonthV2": {
"additionalProperties": {
"$ref": "#/$defs/TaskCountV2"
},
"description": "The number of tasks both completed and not completed for a given month.",
"propertyNames": {
"format": "date"
},
"title": "TaskByMonthV2",
"type": "object"
},
"TaskByWeekV2": {
"additionalProperties": {
"$ref": "#/$defs/TaskCountV2"
},
"description": "The number of tasks both completed and not completed for a given week.",
"propertyNames": {
"format": "date"
},
"title": "TaskByWeekV2",
"type": "object"
},
"TaskCountV2": {
"additionalProperties": false,
"description": "Model that represents the current task count for a given time period.",
"properties": {
"completeCount": {
"title": "Completecount",
"type": "integer"
},
"notCompleteCount": {
"title": "Notcompletecount",
"type": "integer"
}
},
"required": [
"completeCount",
"notCompleteCount"
],
"title": "TaskCountV2",
"type": "object"
}
},
"additionalProperties": false,
"description": "Model for the response of a user statistics request via the V2 API.",
"properties": {
"score": {
"title": "Score",
"type": "integer"
},
"level": {
"title": "Level",
"type": "integer"
},
"yesterdayCompleted": {
"title": "Yesterdaycompleted",
"type": "integer"
},
"todayCompleted": {
"title": "Todaycompleted",
"type": "integer"
},
"totalCompleted": {
"title": "Totalcompleted",
"type": "integer"
},
"scoreByDay": {
"$ref": "#/$defs/ScoreByDayV2"
},
"taskByDay": {
"$ref": "#/$defs/TaskByDayV2"
},
"taskByWeek": {
"$ref": "#/$defs/TaskByWeekV2"
},
"taskByMonth": {
"$ref": "#/$defs/TaskByMonthV2"
},
"todayPomoCount": {
"title": "Todaypomocount",
"type": "integer"
},
"yesterdayPomoCount": {
"title": "Yesterdaypomocount",
"type": "integer"
},
"totalPomoCount": {
"title": "Totalpomocount",
"type": "integer"
},
"todayPomoDuration": {
"title": "Todaypomoduration",
"type": "integer"
},
"yesterdayPomoDuration": {
"title": "Yesterdaypomoduration",
"type": "integer"
},
"totalPomoDuration": {
"title": "Totalpomoduration",
"type": "integer"
},
"pomoGoal": {
"title": "Pomogoal",
"type": "integer"
},
"pomoDurationGoal": {
"title": "Pomodurationgoal",
"type": "integer"
},
"pomoByDay": {
"additionalProperties": true,
"title": "Pomobyday",
"type": "object"
},
"pomoByWeek": {
"additionalProperties": true,
"title": "Pomobyweek",
"type": "object"
},
"pomoByMonth": {
"additionalProperties": true,
"title": "Pomobymonth",
"type": "object"
}
},
"required": [
"score",
"level",
"yesterdayCompleted",
"todayCompleted",
"totalCompleted",
"scoreByDay",
"taskByDay",
"taskByWeek",
"taskByMonth",
"todayPomoCount",
"yesterdayPomoCount",
"totalPomoCount",
"todayPomoDuration",
"yesterdayPomoDuration",
"totalPomoDuration",
"pomoGoal",
"pomoDurationGoal",
"pomoByDay",
"pomoByWeek",
"pomoByMonth"
],
"title": "UserStatisticsV2",
"type": "object"
}
Fields:
-
score
(int
) -
level
(int
) -
yesterday_completed
(int
) -
today_completed
(int
) -
total_completed
(int
) -
score_by_day
(ScoreByDayV2
) -
task_by_day
(TaskByDayV2
) -
task_by_week
(TaskByWeekV2
) -
task_by_month
(TaskByMonthV2
) -
today_pomo_count
(int
) -
yesterday_pomo_count
(int
) -
total_pomo_count
(int
) -
today_pomo_duration
(int
) -
yesterday_pomo_duration
(int
) -
total_pomo_duration
(int
) -
pomo_goal
(int
) -
pomo_duration_goal
(int
) -
pomo_by_day
(dict[str, Any]
) -
pomo_by_week
(dict[str, Any]
) -
pomo_by_month
(dict[str, Any]
)
Validators:
empty_str_to_none
pydantic-validator
#
empty_str_to_none(v: Any) -> Any
Convert empty strings to None.
TickTick API responses sometimes conflates None
and empty strings for
optional fields. This validator ensures that empty strings are converted to
None
, which then allows for more consistent handling of the data within the
library.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
v
|
Any
|
The value to validate. |
required |
Returns:
Name | Type | Description |
---|---|---|
Any |
Any
|
The input value if it is not an empty string, otherwise |
Source code in src/pyticktick/models/v2/models.py
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|
UserStatusV2
pydantic-model
#
Bases: BaseModelV2
Model for the response of a user status request via the V2 API.
This user "status" is mainly about the user's subscription status, rather than their current activity on TickTick.
Show JSON schema:
{
"additionalProperties": false,
"description": "Model for the response of a user status request via the V2 API.\n\nThis user \"status\" is mainly about the user's subscription status, rather than\ntheir current activity on TickTick.",
"properties": {
"userId": {
"description": "The user's ID.",
"title": "Userid",
"type": "string"
},
"userCode": {
"format": "uuid4",
"title": "Usercode",
"type": "string"
},
"username": {
"description": "The user's email address.",
"format": "email",
"title": "Username",
"type": "string"
},
"teamPro": {
"title": "Teampro",
"type": "boolean"
},
"proStartDate": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "The date when the user started their premium subscription.",
"title": "Prostartdate"
},
"proEndDate": {
"description": "The date when the user's premium subscription is slated to end.",
"title": "Proenddate",
"type": "string"
},
"subscribeType": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Subscribetype"
},
"subscribeFreq": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Subscribefreq"
},
"needSubscribe": {
"title": "Needsubscribe",
"type": "boolean"
},
"freq": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Freq"
},
"inboxId": {
"description": "The user's inbox ID.",
"title": "Inboxid",
"type": "string"
},
"teamUser": {
"title": "Teamuser",
"type": "boolean"
},
"activeTeamUser": {
"title": "Activeteamuser",
"type": "boolean"
},
"freeTrial": {
"title": "Freetrial",
"type": "boolean"
},
"pro": {
"description": "Whether or not a user has subscribed to the premium plan.",
"title": "Pro",
"type": "boolean"
},
"ds": {
"title": "Ds",
"type": "boolean"
},
"timeStamp": {
"description": "Timestamp of the last update.",
"title": "Timestamp",
"type": "integer"
},
"gracePeriod": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Graceperiod"
}
},
"required": [
"userId",
"userCode",
"username",
"teamPro",
"proEndDate",
"needSubscribe",
"inboxId",
"teamUser",
"activeTeamUser",
"freeTrial",
"pro",
"ds",
"timeStamp"
],
"title": "UserStatusV2",
"type": "object"
}
Fields:
-
user_id
(str
) -
user_code
(UUID4
) -
username
(EmailStr
) -
team_pro
(bool
) -
pro_start_date
(str | None
) -
pro_end_date
(str
) -
subscribe_type
(str | None
) -
subscribe_freq
(str | None
) -
need_subscribe
(bool
) -
freq
(str | None
) -
inbox_id
(str
) -
team_user
(bool
) -
active_team_user
(bool
) -
free_trial
(bool
) -
pro
(bool
) -
ds
(bool
) -
time_stamp
(int
) -
grace_period
(bool | None
)
Validators:
pro_end_date
pydantic-field
#
pro_end_date: str
The date when the user's premium subscription is slated to end.
pro_start_date
pydantic-field
#
pro_start_date: str | None = None
The date when the user started their premium subscription.
empty_str_to_none
pydantic-validator
#
empty_str_to_none(v: Any) -> Any
Convert empty strings to None.
TickTick API responses sometimes conflates None
and empty strings for
optional fields. This validator ensures that empty strings are converted to
None
, which then allows for more consistent handling of the data within the
library.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
v
|
Any
|
The value to validate. |
required |
Returns:
Name | Type | Description |
---|---|---|
Any |
Any
|
The input value if it is not an empty string, otherwise |
Source code in src/pyticktick/models/v2/models.py
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|