73 Commits

Author SHA1 Message Date
ton 01f4e52c64 Merge pull request 'v0.5.0-add_llmutils' (#12) from v0.5.0-add_llmutils into main
Reviewed-on: #12
2026-07-15 09:21:25 +00:00
ton 35acfe5b70 update 2026-07-15 16:21:03 +07:00
ton e1ebbf370e update 2026-07-15 15:55:20 +07:00
ton 1fd3fa1bee update 2026-07-15 15:50:09 +07:00
ton 9721a393bc update 2026-07-15 15:49:34 +07:00
ton 1db8e4e383 Merge pull request 'v0.5.0' (#11) from v0.5.0 into main
Reviewed-on: #11
2026-07-15 04:23:05 +00:00
ton c51dfc549c Merge pull request 'up version' (#10) from v0.5.0-add_llmutils into v0.5.0
Reviewed-on: #10
2026-07-15 04:22:51 +00:00
ton f0ad6a3e48 up version 2026-07-15 11:22:24 +07:00
ton 07d5d0f885 Merge pull request 'v0.5.0' (#9) from v0.5.0 into main
Reviewed-on: #9
2026-07-15 04:21:03 +00:00
ton c829bf65f6 Merge pull request 'v0.5.0-add_llmutils' (#8) from v0.5.0-add_llmutils into v0.5.0
Reviewed-on: #8
2026-07-15 04:20:13 +00:00
ton b09efc9068 update 2026-07-15 11:16:30 +07:00
ton 6fb2d5f82b update 2026-07-15 08:29:21 +07:00
ton 55cc0f78c9 update 2026-07-15 07:49:21 +07:00
ton 73ec3bbb04 update 2026-07-15 07:19:01 +07:00
ton 1ad46c6e18 update 2026-07-15 07:11:09 +07:00
ton 95954249ce update 2026-07-14 18:13:31 +07:00
ton a15630619a update 2026-07-14 13:00:39 +07:00
ton f28405f3f1 update 2026-07-13 21:23:21 +07:00
ton d658d9a25b update 2026-07-13 21:22:38 +07:00
ton edad442242 update 2026-07-13 21:06:09 +07:00
ton c56fc7366c update 2026-07-13 10:24:29 +07:00
ton c4eeb99aba update 2026-07-12 10:48:01 +07:00
ton bd5022c8bc update compat 2026-07-05 17:37:41 +07:00
ton db84b1c398 update 2026-07-05 07:05:11 +07:00
ton f8f8410259 fix clean json 2026-07-04 09:09:56 +07:00
ton 956adf0b93 update 2026-07-03 20:54:16 +07:00
ton 0f2a33bcdd update 2026-07-03 20:30:24 +07:00
ton b8f84846bb update 2026-07-03 18:33:45 +07:00
ton adf6264061 fix dictify 2026-07-03 18:32:41 +07:00
ton 08f19f17a2 fix clean json response 2026-07-03 12:24:40 +07:00
ton 8a4e882dc1 add new func() 2026-06-30 22:02:17 +07:00
ton fb7942a965 add new function 2026-06-30 21:02:25 +07:00
ton e54454b099 update 2026-06-27 17:16:21 +07:00
ton dac98ab38c update 2026-06-27 17:15:36 +07:00
ton 1e8149aa6f update 2026-06-27 17:09:27 +07:00
ton 8f12c29a78 update 2026-06-27 16:53:55 +07:00
ton e3d09e6ebd update docs 2026-06-27 16:00:31 +07:00
ton f33f4f0790 up version 2026-06-24 12:55:40 +07:00
ton fcf2044dd9 Merge pull request 'update' (#7) from v0.4.0-dictify_key into main
Reviewed-on: #7
2026-06-24 05:33:31 +00:00
ton 05d8cb9c02 update 2026-06-24 12:29:01 +07:00
ton 13de2f90ff update 2026-06-07 17:22:24 +07:00
ton 22fe810f63 update 2026-06-07 17:20:52 +07:00
ton abdf6cf3b8 Merge pull request 'update' (#6) from add_generateupdateSQL into main
Reviewed-on: #6
2026-06-07 09:32:41 +00:00
ton f2ba243df0 update 2026-06-07 16:27:08 +07:00
ton bb2851332a Merge pull request 'update' (#5) from add_generateupdateSQL into main
Reviewed-on: #5
2026-06-07 09:20:55 +00:00
ton 00225f3a06 update 2026-06-07 16:16:52 +07:00
ton 7cb0bd077f Merge pull request 'update' (#4) from add_generateupdateSQL into main
Reviewed-on: #4
2026-06-07 09:04:33 +00:00
ton 0ba2aa310e update 2026-06-07 15:32:49 +07:00
ton 1916668c6e Merge pull request 'add_generateupdateSQL' (#3) from add_generateupdateSQL into main
Reviewed-on: #3
2026-06-07 06:57:28 +00:00
ton 919800da42 add generateUpdateSQL 2026-06-07 13:56:07 +07:00
ton 947580a2ec update 2026-06-07 13:46:04 +07:00
ton 688b9a22b6 add generateUpdateSQL 2026-06-07 13:43:47 +07:00
ton 76ce0fc54f Merge pull request 'usability' (#2) from usability into main
Reviewed-on: #2
2026-05-29 04:17:51 +00:00
ton b8bd06f386 update generateUpdateSQL 2026-05-29 11:16:34 +07:00
ton e08b6ab54d update 2026-02-28 11:40:35 +07:00
ton 830e9bcc5f update 2026-02-22 18:24:52 +07:00
ton 52d991bbf3 Merge pull request 'v0.3.1' (#1) from v0.3.1 into main
Reviewed-on: #1
2025-12-17 05:43:32 +00:00
ton 35c2b4c211 use JSON instead of JSON3 2025-12-17 12:39:18 +07:00
ton 170b0bad15 update 2025-11-22 10:45:08 +07:00
ton fbedd507fc update 2025-11-22 09:05:06 +07:00
ton 0e36b8db90 remove MQTT dependency 2025-08-01 06:04:17 +07:00
ton 13fcf06503 update 2025-07-23 07:10:28 +07:00
narawat lamaiin 066d72553f update 2025-07-18 07:54:50 +07:00
narawat lamaiin b3e8df7287 update 2025-07-17 11:48:16 +07:00
narawat lamaiin c5f3fda2ba update 2025-07-14 13:49:04 +07:00
narawat lamaiin adab61dca8 update 2025-07-14 08:54:46 +07:00
narawat lamaiin 09615a6909 mark new version 2025-06-10 10:49:11 +07:00
ton 92c5930e9a Merge pull request 'v0.3.0' (#6) from v0.3.0 into main
Reviewed-on: #6
2025-06-10 03:39:42 +00:00
narawat lamaiin 5b4c1c1471 update 2025-06-10 10:38:51 +07:00
narawat lamaiin fc3edd7b8f update 2025-06-10 10:29:57 +07:00
narawat lamaiin 93aa0ee1ac update 2025-06-10 10:16:31 +07:00
narawat lamaiin 42378714a0 mark new version 2025-06-10 09:31:00 +07:00
ton 759f022c98 Merge pull request 'v0.2.4' (#5) from v0.2.4 into main
Reviewed-on: #5
2025-06-10 02:27:09 +00:00
13 changed files with 3416 additions and 1773 deletions
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@@ -1,7 +1,7 @@
name = "GeneralUtils"
uuid = "c6c72f09-b708-4ac8-ac7c-2084d70108fe"
version = "0.5.1"
authors = ["tonaerospace <tonaerospace.etc@gmail.com>"]
version = "0.2.4"
[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
@@ -9,9 +9,23 @@ DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
MQTTClient = "985f35cc-2c3d-4943-b8c1-f0931d5f0959"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
LibPQ = "194296ae-ab2e-5f79-8cd4-7183a0a5a0d1"
NATS = "55e73f9c-eeeb-467f-b4cc-a633fde63d2a"
PrettyPrinting = "54e16d92-306c-5ea0-a30b-337be88ac337"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
SHA = "ea8e919c-243c-51af-8825-aaa63cd721ce"
StringDistances = "88034a9c-02f8-509d-84a9-84ec65e18404"
UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
[compat]
Graphs = "1.14.0"
HTTP = "2.5.0 - 2.9.9"
JSON = "1.3.0 - 1.9.9"
LibPQ = "1.18.0"
NATS = "0.1.0"
Revise = "3.13.2"
StringDistances = "1.0.0"
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@@ -0,0 +1,5 @@
Todo:
- [WORKING] update with JSON
Change from previous version:
- replace JSON3 with JSON
+79
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@@ -0,0 +1,79 @@
using NATS, JSON3
connection = NATS.connect("nats.yiem.cc:4222")
sub1 = NATS.reply(connection, "some_subject"; queue_group="group1") do msg
payload = copy(JSON3.read(msg.payload))
println(payload)
println(msg.reply_to)
# publish(connection, msg.reply_to, "ACK")
return JSON3.write(Dict(:a=>"wassup"))
end
using NATS, JSON3, GeneralUtils
connection = NATS.connect("nats.yiem.cc:4222")
msgMeta = GeneralUtils.generate_msgMeta(
"text2textinstruct_medium.inference.api.v1";
msgPurpose= "inference",
senderName= "yiemagent",
senderId= GeneralUtils.uuid4snakecase(),
receiverName= "text2textinstruct",
)
llmHttpTimeout = 60
outgoingMsg = Dict(
:msgMeta=> msgMeta,
:payload=> Dict(
:text=> "Wassup buddy!",
:kwargs=> Dict(
:max_tokens=> 2048,
:stop=> ["<|im_end|>"],
:temperature=> 0.2,
),
:llmHttpTimeout=>llmHttpTimeout,
)
)
r = NATS.request(String, connection, "text2textinstruct_medium.inference.api.v1",
JSON3.write(outgoingMsg); timer=Timer(llmHttpTimeout))
using NATS, JSON3, GeneralUtils
connection = NATS.connect("nats.yiem.cc:4222")
msgMeta = GeneralUtils.generate_msgMeta(
"tonpc.containerServices",
msgPurpose="reset container",
senderName= "",
)
outgoingMsg = Dict(
:msgMeta=> msgMeta,
:payload=> "docker container restart ollama-instance-2",
)
# may be I can't use NATS request inside NATS reply??
r = NATS.request(String, connection, msgMeta[:sendTopic], JSON3.write(outgoingMsg); timer=Timer(10))
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+1 -10
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@@ -2,7 +2,7 @@ module GeneralUtils
export # struct
mqttClientInstance,
# mqttClientInstance,
# function
noNegative!, randomWithProb, randomChoiceWithProb, findIndex, limitvalue
@@ -24,16 +24,7 @@ using .interface
#------------------------------------------------------------------------------------------------100
""" version 0.0.4
Todo:
- [*1] cartesianAssign for different matrix dimension
Change from version: 0.0.3
-
All features
"""
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@@ -2,13 +2,45 @@ module dbUtil
export dictToPostgresKeyValueString, generateInsertSQL, generateUpdateSQL
using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, MQTTClient, DataFrames,
using JSON, DataStructures, Distributions, Random, Dates, UUIDs, DataFrames,
SHA
using ..util
#[PENDING] update code to use JSON
# ---------------------------------------------- 100 --------------------------------------------- #
"""
dictToPostgresKeyValueString - Convert dictionary to PostgreSQL key-value string format
This function takes a dictionary and converts it into a PostgreSQL-compatible key-value string
format suitable for storage in a TEXT field. The output format uses curly braces with comma-separated
key-value pairs, where string values are quoted.
# Function Workflow:
1. Iterates through dictionary key-value pairs
2. Handles nested dictionaries by recursively converting them
3. Wraps string values in double quotes
4. Formats numeric and other values without quotes
5. Returns a PostgreSQL-compatible key-value string enclosed in curly braces
# Arguments:
- `dict::Dict` - Dictionary containing key-value pairs to convert
# Return:
- A String in PostgreSQL key-value format: "{key1: value1, key2: \"value2\", ...}"
# Example
```jldoctest
julia> data = Dict{String, Any}(
"name" => "John",
"age" => 30,
"city" => "New York"
);
julia> dictToPostgresKeyValueString(data)
"{\"name\": \"John\", \"age\": 30, \"city\": \"New York\"}"
```
"""
function dictToPostgresKeyValueString(dict)
parts = []
for (k, v) in dict
@@ -26,61 +58,71 @@ end
""" Get characters between specified characters.
""" generateInsertSQL - Generate SQL INSERT statement from dictionary data
# Arguments
- `text::T`
a text being searched
- `startChar::Char`
start character
- `endChar::Char`
end character
# Keyword Arguments
- `endCharLocation::String`
end character position after startChar. Can be "next" or "end". "next" means the closed
endChar just after startChar. "end" means the furthest endChar.
- `includeChar::Bool`
whether to include the startChar and endChar. Default is true
# Return
the characters between specified characters.
This function constructs a SQL INSERT statement by extracting values for specified columns
from a dictionary and formatting them into a valid PostgreSQL INSERT query.
# Function Workflow:
1. Iterates through the dictionary key-value pairs
2. Filters keys to only include those present in `columnToInsert`
3. Collects column names and their corresponding values
4. Constructs the final SQL INSERT statement
# Arguments:
- `table_name::String` - Name of the database table to insert into
- `columnToInsert::Vector{Symbol}` - List of column names to include in the INSERT statement
- `data::Dict{Symbol, Any}` - Dictionary containing column-value pairs for the insert
# Return:
- A String containing the SQL INSERT statement
# Example
```jldoctest
julia> using Revise
julia> using GeneralUtils
julia> insert_data = Dict(
:grape => "NA",
:acidity => "0",
:tannin => "0",
:country => "NA",
:description => "NA",
:region => "NA",
:winery => "ccc",
:intensity => "0",
:sweetness => "0",
:tasting_notes => "NA",
:wine_name => "new_wine",
:wine_id => "9e1deb6a-d57f-4d2c-abbe-da813f4e91ad",
:wine_type => "NA",
:other_attributes => "{\"attribute3\":{\"attribute5\":666,\"attribute4\":\"text\"},\"attribute1\":\"hello world\",\"attribute2\":555}",
:fizziness => "0",
:serving_temperature => "0",
:additional_search_term => "{NA1,NA2}")
```
# TODO
- [] update docs
julia> using UUIDs
# Signature
# Insert a single record with specific columns
table_name = "wine"
columnToInsert = [:acidity, :tannin, :country, :region, :winery]
data = Dict{Symbol, Any}(
:grape => "Cabernet Sauvignon",
:acidity => "medium", # using descriptive scale (low/medium/full)
:tannin => "medium-plus", # common wine descriptor
:country => "France",
:description => "A rich and structured red wine with notes of blackcurrant, cedar, and subtle oak.",
:region => "Bordeaux",
:winery => "Château Margaux",
:intensity => "medium", # intensity is usually low/medium/full
:sweetness => "dry", # dry/medium-dry/medium/medium-sweet/sweet
:tasting_notes => "Blackberry, graphite, tobacco, vanilla, and subtle earth.",
:wine_name => "Château Margaux Grand Cru",
:wine_id => "8f3c7a2e-1b4d-4a9f-9c2e-4a8b3d6e5f7a", # UUID-like (valid hex)
:wine_type => "Red",
:other_attributes => Dict{String, Any}(
"vintage" => 2018,
"alcohol_percent" => 13.5,
"ph" => 3.6,
" aging_years" => 24, # years in barrel
" producer_code" => "CM-GRAND"
),
:fizziness => "still",
:serving_temperature => "1618°C",
:additional_search_term => ["Cabernet", "Bordeaux red", "premium wine", "CabSav"]
)
julia> generateInsertSQL(table_name, columnToInsert, data)
"INSERT INTO wine (acidity, tannin, country, region, winery) VALUES ('medium', 'medium-plus', 'France', 'Bordeaux', 'Château Margaux');"
```
"""
function generateInsertSQL(table_name::String, columnToInsert::Vector{Symbol},
insert_data::Dict{Symbol, Any})
function generateInsertSQL(table_name::String, columnToInsert::Vector{Symbol}, data::Dict{Symbol, Any})
columns = String[]
values = String[]
for (key, value) in insert_data
for (key, value) in data
if key columnToInsert
push!(columns, string(key))
push!(values, "'$value'") #[] number should not wrapped in ''
value_str = isa(value, AbstractString) ? "'$value'" : "$value"
push!(values, value_str)
end
end
@@ -89,113 +131,101 @@ function generateInsertSQL(table_name::String, columnToInsert::Vector{Symbol},
return "INSERT INTO $table_name ($columns_str) VALUES ($values_str);"
end
# function generateInsertSQL(table_name::String, insert_data::Dict{Symbol, Any})
# columns = String[]
# values = String[]
# for (key, value) in insert_data
# push!(columns, string(key))
# if key == :other_attributes
# push!(values, "'$value'")
# else
# push!(values, "'$value'")
# end
# end
# columns_str = join(columns, ", ")
# values_str = join(values, ", ")
# return "INSERT INTO $table_name ($columns_str) VALUES ($values_str);"
# end
function generateInsertSQL(table_name::String, data::AbstractDict{String, Any})
columns = String[]
values = String[]
"""
example:
insert_data = Dict(
:grape => "NA",
:acidity => "0",
:tannin => "0",
:country => "NA",
:description => "NA",
:region => "NA",
:winery => "ccc",
:intensity => "0",
:sweetness => "0",
:tasting_notes => "NA",
:wine_name => "new_wine",
:wine_id => "9e1deb6a-d57f-4d2c-abbe-da813f4e91ad",
:wine_type => "NA",
:other_attributes => "{\"attribute3\":{\"attribute5\":666,\"attribute4\":\"text\"},\"attribute1\":\"hello world\",\"attribute2\":555}",
:fizziness => "0",
:serving_temperature => "0",
:additional_search_term => "{NA1,NA2}")
id_keys is the primary key columns
"""
# function generateUpdateSQL(table_name::String, update_data::Dict{Symbol, Any}, id_keys::Vector{Symbol})
# set_clauses = String[]
# where_clauses = String[]
# for (key, value) in update_data
# if key in id_keys
# push!(where_clauses, "$key = '$value'")
# else
# if key == :other_attributes
# push!(set_clauses, "$key = '$value'")
# else
# push!(set_clauses, "$key = '$value'")
# end
# end
# end
# set_clause = join(set_clauses, ", ")
# where_clause = join(where_clauses, " AND ")
# return "UPDATE $table_name SET $set_clause WHERE $where_clause;"
# end
function generateUpdateSQL(table_name::String, columnToUpdate::Vector{Symbol},
updatedata::Dict{Symbol, Any}, id_keys::Vector{Symbol})
set_clauses = String[]
where_clauses = String[]
for (key, value) in updatedata
if key in id_keys
push!(where_clauses, "$key = '$value'")
else
if key columnToUpdate # update only specified columns
push!(set_clauses, "$key = '$value'")
end
end
for (key, value) in data
push!(columns, string(key))
value_str = isa(value, AbstractString) ? "'$value'" : "$value"
push!(values, value_str)
end
set_clause = join(set_clauses, ", ")
where_clause = join(where_clauses, " AND ")
return "UPDATE $table_name SET $set_clause WHERE $where_clause;"
columns_str = join(columns, ", ")
values_str = join(values, ", ")
return "INSERT INTO $table_name ($columns_str) VALUES ($values_str);"
end
# ---------------------------------------------- 100 --------------------------------------------- #
""" generateUpdateSQL - Generate SQL UPDATE statement from dictionary data
This function constructs a SQL UPDATE statement by updating multiple columns
based on a primary key condition.
# Arguments:
- `table_name::String` - Name of the database table to update
- `pk_column::Symbol` - The primary key column name
- `pk_value` - The primary key value (used in WHERE clause)
- `data::Dict{Symbol, Any}` - Dictionary containing column-value pairs to update
# Return:
- A String containing the SQL UPDATE statement
# Example
```jldoctest
julia> using UUIDs
# Update multiple columns using a dictionary
table_name = "wine"
pk_column = :wine_id
pk_value = "8f3c7a2e-1b4d-4a9f-9c2e-4a8b3d6e5f7a"
data = Dict{Symbol, Any}(
:acidity => "full",
:tannin => "medium",
:country => "Italy"
)
julia> generateUpdateSQL(table_name, pk_column, pk_value, data)
"UPDATE wine SET acidity = 'full', tannin = 'medium', country = 'Italy' WHERE wine_id = '8f3c7a2e-1b4d-4a9f-9c2e-4a8b3d6e5f7a';"
```
"""
function generateUpdateSQL(table_name::String, pk_column::String, pk_value,
data::AbstractDict{String, Any})
# Build SET clause
set_parts = String[]
for (key, value) in data
if key [pk_column]
value_str = isa(value, AbstractString) ? "'$value'" : "$value"
push!(set_parts, "$(string(key)) = $value_str")
end
end
set_clause = join(set_parts, ", ")
# Handle primary key value
pk_val_str = isa(pk_value, AbstractString) ? "'$pk_value'" : "$pk_value"
return "UPDATE $table_name SET $set_clause WHERE $pk_column = $pk_val_str;"
end
function generateUpdateSQL(table_name::String, pk_dict::AbstractDict{String, Any},
data::AbstractDict{String, Any})
# Build SET clause
set_parts = String[]
for (key, value) in data
if key keys(pk_dict)
value_str = isa(value, AbstractString) ? "'$value'" : "$value"
push!(set_parts, "$(string(key)) = $value_str")
end
end
set_clause = join(set_parts, ", ")
# Build WHERE clause for composite keys
where_parts = String[]
for (col, val) in pk_dict
val_str = isa(val, AbstractString) ? "'$val'" : "$val"
push!(where_parts, "$(string(col)) = $val_str")
end
where_clause = join(where_parts, " AND ")
return "UPDATE $table_name SET $set_clause WHERE $where_clause;"
end
end # module
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@@ -1,43 +1,46 @@
module util
export timedifference, showstracktrace, findHighestIndexKey, uuid4snakecase, replaceDictKeys,
findMatchingDictKey, textToDict, randstring, randstrings, timeout,
findMatchingDictKey, randstring, randstrings, timeout,
dataframeToCSV, dfToVectorDict, disintegrate_vectorDict, getDataFrameValue, dfRowtoString,
dfToString, dataframe_to_json_list, dictToString, dictToString_noKey,
dfToString, dataframe_to_json_list, dictToString, dictToString_noKey, issomething,
dictToString_numbering, extract_triple_backtick_text,
countGivenWords, remove_french_accents, detect_keyword, extractTextBetweenCharacter,
extractTextBetweenString,
countGivenWords, remove_french_accents, removestring,
extractTextBetweenCharacter, extractTextBetweenString,
convertCamelSnakeKebabCase, fitrange, recentElementsIndex, nonRecentElementsIndex
using JSON3, DataStructures, Distributions, Random, Dates, UUIDs, MQTTClient, DataFrames
using JSON, DataStructures, Distributions, Random, Dates, UUIDs, DataFrames
# ---------------------------------------------- 100 --------------------------------------------- #
""" Compute time different between start time and stop time in a given unit.
Unit can be "milliseconds", "seconds", "minutes", "hours".
""" Computes the time difference between two `DateTime` values and returns the
result in a specified unit: milliseconds, seconds, minutes, or hours.
# Arguments
- `starttime::DateTime`
start time
- `stoptime::DateTime`
stop time
- `unit::String`
unit of time difference
- `starttime::DateTime`
The starting `DateTime` value.
- `stoptime::DateTime`
The ending `DateTime` value.
- `unit::String`
The unit for the result. Must be one of: `"milliseconds"`, `"seconds"`,
`"minutes"`, `"hours"`.
# Return
- time difference in given unit
- `Integer`: The time difference converted to the specified unit.
# Example
# Notes
- The function computes `stoptime - starttime` and converts the result to the
requested unit using integer division.
- Errors with `ArgumentError` if an invalid unit is specified.
# Examples
```jldoctest
julia> using Revise
julia> using GeneralUtils, Dates
julia> a = Dates.now()
julia> b = a + Dates.Day(5) # add 5 days
julia> GeneralUtils.timedifference(a, b, "hours")
julia> b = a + Dates.Day(5)
julia> timedifference(a, b, "hours")
120
```
# Signature
"""
function timedifference(starttime::DateTime, stoptime::DateTime, unit::String)::Integer
diff = stoptime - starttime
@@ -184,21 +187,27 @@ end
""" Get uuid4 with snake case
# Return
- `uuid4::String`
uuid4 with snake case
""" Generates a UUID4 (version 4) identifier and converts it to snake case by
replacing hyphens with underscores.
# Example
# Arguments
- This function takes no arguments.
# Return
- `String`: A UUID4 string with underscores instead of hyphens (e.g.,
`"0f6e4f_568c_4df4_8c79_1d7a58072f4a"`).
# Notes
- Uses the `uuid4()` function from the UUIDs standard library to generate a
random UUID.
- The underscore character replaces all hyphens in the UUID string.
# Examples
```jldoctest
julia> using Revise
julia> using GeneralUtils
julia> GeneralUtils.uuid4snakecase()
julia> uuid4snakecase()
"0f6e4f_568c_4df4_8c79_1d7a58072f4a"
```
# Signature
"""
function uuid4snakecase()::String
_id = string(uuid4())
@@ -207,32 +216,37 @@ function uuid4snakecase()::String
end
""" Replace a dictionary key with the new key
""" Replaces keys in a dictionary according to a mapping, returning a new
dictionary with updated keys while preserving the original values.
# Arguments
- `d::Dict`
The input dictionary that you want to modify
- `replacementMap::Dict`
A dictionary that maps old keys to new keys
- `d::Dict`
The input dictionary to modify.
- `replacementMap::Dict`
A dictionary mapping old keys to new keys. Keys not present in this map are
left unchanged.
# Return
- `newDict::Dict`
new dictionary with the replaced keys
- `Dict`: A new dictionary with replaced keys. Values are preserved from the
original dictionary.
# Example
# Notes
- The function creates a new dictionary rather than modifying the input in
place.
- Keys not found in `replacementMap` are copied to the result with their
original keys unchanged.
# Examples
```jldoctest
julia> using Revise
julia> using GeneralUtils
julia> d = Dict(:a => 1, :b => 2, :c => 3)
julia> replacement_map = Dict(:a => :x, :b => :y)
julia> new_dict = GeneralUtils.replaceDictKeys(d, replacement_map)
julia> replaceDictKeys(d, replacement_map)
Dict{Any, Any} with 3 entries:
:y => 2
:c => 3
:x => 1
```
# Signature
"""
function replaceDictKeys(d::Dict, replacementMap::Dict)::Dict
newDict = Dict()
@@ -244,102 +258,6 @@ function replaceDictKeys(d::Dict, replacementMap::Dict)::Dict
end
""" Convert text into a dictionary with a given keywords. This function use keywords to slice
a given text into the following format: KW1|kw1_text|KW2|kw2_text|KW3|kw3_text.
The left most string which has no keyword will be discarded. WARNING, ordering is important
# Arguments
- `text::String`
A text to be converted.
- `keywords::Vector{String}`
A list of keywords to be used to slice the text.
These keywords also be the resulting dict keys.
# Keyword Arguments
- `rightmarker::String`
A maker used to make a word to be unique. Ex, A keyword "plan" with rightmarker ":",
the function will search for "plan:" otherwise the function will search for "plan".
The marker will not be in the resulting dict keys.
- `symbolkey::Bool`
If true, resulting dict's key will be Symbols, otherwise string.
- `lowercasekey::Bool`
set resulting dict's key to be lowercase
# Return
- `d::OrderedDict`
# Example
```jldoctest
julia> text = "TODAY thought: what to do plan: wake up and going out action: 1. wake up 2. eat 3. sleep"
julia> sample_keywords = ["thought", "plan", "action"]
julia> resultdict = GeneralUtils.textToDict(text, sample_keywords; rightmarker=":", symbolkey=true)
julia> println(resultdict)
OrderedCollections.OrderedDict{Any, Any}(:thought => "what to do",
:plan => "wake up and going out",
:action => "1. wake up 2. eat 3. sleep")
```
# Signature
"""
function textToDict(text::String, detectKeywords::Vector{String};
dictKey::Union{Vector{String}, Nothing}=nothing,
symbolkey::Bool=false, lowercasekey::Bool=false
)::OrderedDict
# make sure this function detect variation of a work e.g. agent, Agent, AGENT
kw = []
# use for loop and detect_keyword function to get the exact variation of each keyword in the text then push to kw list
for keyword in detectKeywords
detected = detect_keyword(keyword, text)
if detected !== nothing
push!(kw, detected)
else
error("Keyword $keyword not found in text.")
end
end
od1, od2 =
if symbolkey
OrderedDict{Symbol, Any}(), OrderedDict{Symbol, Any}()
else
OrderedDict{String, Any}(), OrderedDict{String, Any}()
end
remainingtext = text
dictKey_ = reverse(dictKey)
# process text from back to front
rkw = reverse(kw)
for (i,keyword) in enumerate(rkw)
# Find the position of the keyword in the text
keywordidx = findlast(keyword, remainingtext)
dKey = dictKey_[i]
if keywordidx !== nothing
substr = remainingtext[keywordidx[end]+1:end]
str = string(strip(substr)) # Removes both leading and trailing whitespace.
_key = lowercasekey == true ? lowercase(dKey) : dKey
key = symbolkey == true ? Symbol(_key) : _key
od1[key] = str
remainingtext = remainingtext[1:keywordidx[1]-1]
else
error("""keyword "$keyword" not found in the provided text: $text </end of error note>""")
end
end
# correct the order
ks = reverse([i for i in keys(od1)])
for k in ks
k = symbolkey == true ? Symbol(k) : k
od2[k] = od1[k]
end
return od2
end
""" Generate a random string
# Arguments
@@ -390,36 +308,43 @@ end
""" Execute a function with timer.
""" Executes a function with a timeout mechanism. If the function does not
complete within the specified time, it is interrupted and a timeout message
is returned.
# Arguments
- `f::Function`
a function to run
- `timeoutwindow::Integer``
timeout in seconds
- `f::Function`
The function to execute.
- `timeoutwindow::Integer`
The timeout duration in seconds.
# Keyword Argument
- `fargs`
arguments for the function
- `timeoutmsg::String`
time out message
# Keyword Arguments
- `fargs`
Arguments to pass to the function `f`. If `nothing`, the function is called
without arguments.
- `timeoutmsg::String`
The message to return if the function times out. Defaults to `"task timed out"`.
# Return
- task result otherwise timeout message
- The result of the function if it completes within the timeout, otherwise the
`timeoutmsg` string.
# Example
```jldoctest
# Notes
- Uses Julia's `@task`, `schedule`, and `Timer` to implement non-blocking
execution with interruption via `Base.throwto`.
- Errors with `InterruptException` if the function exceeds the timeout.
# Examples
```jldoctest
julia> function testfunc(x)
sleep(x)
return "task done"
end
sleep(x)
return "task done"
end
julia> result = timeout(testfunc, 10; fargs=20)
"task timed out"
julia> result = timeout(testfunc, 20; fargs=10)
"task done"
```
# Signature
"""
function timeout(f::Function, timeoutwindow::Integer; fargs=nothing, timeoutmsg="task timed out")
tsk = @task f(fargs)
@@ -436,23 +361,26 @@ end
""" Convert a dataframe into CSV.
""" Converts a DataFrame to a CSV string representation using the CSV.jl package.
# Arguments
- `df::DataFrame`
A connection object to Postgres database
# Return
- `result::String`
- `df::DataFrame`
The DataFrame to convert to CSV format.
# Example
# Return
- `String`: The DataFrame contents as a CSV-formatted string.
# Notes
- Uses `CSV.write` with an `IOBuffer` to capture the output as a string.
- The returned string contains the full CSV representation including headers.
# Examples
```jldoctest
julia> using DataFrames, GeneralUtils
julia> df = DataFrame(A=1:3, B=5:7, fixed=1)
julia> result = GeneralUtils.dataframeToCSV(df)
julia> dataframeToCSV(df)
"1,5,1\n2,6,1\n3,7,1\n"
```
# Signature
"""
function dataframeToCSV(df::DataFrame)
# Create an IOBuffer to capture the output
@@ -474,7 +402,7 @@ end
# Example
```jldoctest
julia> using DataFrames, JSON3, GeneralUtils
julia> using DataFrames, GeneralUtils
julia> df = DataFrame(A = [1, 2, 3], B = ["apple", "banana", "cherry"])
julia> vectorDict = GeneralUtils.dfToVectorDict(df)
[Dict{String, Any}("B" => "apple", "A" => 1),
@@ -512,7 +440,7 @@ end
# Example
```jldoctest
julia> using GeneralUtils, Dates, JSON3, UUIDs
julia> using GeneralUtils, Dates, UUIDs
julia> vecDict = [Dict("a" => i) for i in 1:10]
julia> d = GeneralUtils.disintegrate_vectorDict(vecDict, 3)
julia> println(d[:data])
@@ -522,8 +450,6 @@ end
3 => [Dict("a"=>7), Dict("a"=>8), Dict("a"=>9)]
4 => [Dict("a"=>10)]
```
# Signature
"""
function disintegrate_vectorDict(data::Vector, partsize::Integer
)
@@ -569,8 +495,6 @@ end
julia> getDataFrameValue(df[1, :], :name)
"Alice"
```
# Signature
"""
getDataFrameValue(row::DataFrameRow, key::Symbol) = row.:($key)
@@ -639,8 +563,6 @@ end
julia> dfToString(df)
"1) name: Alice, age: 25\n2) name: Bob, age: 30"
```
# Signature
"""
function dfToString(df::DataFrame)
dfstr = ""
@@ -664,7 +586,7 @@ end
# Example
```jldoctest
julia> using DataFrames
julia> using DataFrames, GeneralUtils
julia> df = DataFrame(name=["Alice", "Bob"], age=[25, 30])
2×2 DataFrame
@@ -674,13 +596,11 @@ end
│ 1 │ Alice 25
│ 2 │ Bob 30
julia> dataframe_to_json_list(df)
julia> GeneralUtils.dataframe_to_json_list(df)
2-element Vector{String}:
"{\"name\":\"Alice\",\"age\":25}"
"{\"name\":\"Bob\",\"age\":30}"
```
# Signature
"""
function dataframe_to_json_list(df::DataFrame)::Vector{String}
json_list = []
@@ -714,8 +634,6 @@ end
julia> dict_to_string(od)
"1) name: Alice, 2) age: 25"
```
# Signature
"""
function dictToString(od::T) where {T<:AbstractDict}
items = []
@@ -784,152 +702,6 @@ function cuttext(range, text)
end
end
"""
detect_keyword(keywords::AbstractVector{String}, text::String; mode::Union{String, Nothing}=nothing, delimiter::AbstractVector=[' ', '\n', '.']) -> Dict{String, Integer}
Detects and counts occurrences of multiple keywords in the text in different case variations (lowercase, uppercase first letter, or all uppercase).
# Arguments
- `keywords::AbstractVector{String}` Vector of keywords to search for
- `text::String` The text to search in
# Keyword Arguments
- `mode::Union{String, Nothing}` When set to "individual", only counts matches that are individual words (default: nothing)
- `delimiter::AbstractVector` Characters used to determine word boundaries when mode="individual" (default: [' ', '\n', '.'])
# Returns
- `Dict{String, Integer}` Returns a dictionary mapping each keyword to its count in the text (0 if not found)
# Examples
```jldoctest
julia> detect_keyword(["test", "example"], "This is a Test EXAMPLE")
Dict{String, Integer}("test" => 1, "example" => 1)
julia> detect_keyword(["cat"], "cats and category", mode="individual")
Dict{String, Integer}("cat" => 0)
julia> detect_keyword(["error"], "No ERRORS found!")
Dict{String, Integer}("error" => 1)
```
# Signature
"""
# function detect_keyword(keywords::T1, text::String;
# mode::Union{String, Nothing}=nothing, delimiter::T2=[' ', '\n', '.']
# )::Dict{String, Integer} where {T1<:AbstractVector, T2<:AbstractVector}
# # Initialize dictionary to store keyword counts
# kwdict = Dict{String, Integer}()
# for i in keywords
# kwdict[i] = 0
# end
# startindex = 1
# # Iterate through each keyword and search for matches in text
# for kw in keywords
# # Check each possible starting position in the text
# for startindex in 1:1:length(text)
# # Get the window range for current keyword at current position
# wordwindows = wordwindow(kw, startindex)
# # Extract the text slice for comparison
# cuttexts = cuttext(wordwindows, text)
# if cuttexts !== nothing
# # Try to detect keyword in current text slice
# detected_kw = detect_keyword(kw, cuttexts)
# if detected_kw !== nothing && mode === nothing
# # Increment count if keyword found and no mode restrictions
# kwdict[kw] +=1
# elseif detected_kw !== nothing && mode === "individual"
# # For individual word mode, check word boundaries
# # Check if character before keyword is a delimiter or start of text
# checkbefore =
# if wordwindows.start > 1 &&
# text[wordwindows.start-1] ∈ delimiter
# true
# elseif wordwindows.start == 1
# true
# else
# false
# end
# # Check if character after keyword is a delimiter or end of text
# checkafter =
# if wordwindows.stop < length(text) &&
# text[wordwindows.stop+1] ∈ delimiter
# true
# elseif wordwindows.stop == length(text)
# true
# else
# false
# end
# # Only count keyword if it's a complete word
# if checkbefore && checkafter
# kwdict[kw] +=1
# end
# end
# end
# end
# end
# return kwdict
# end
function detect_keyword(keywords::T, text::String)::Dict{String, Integer} where {T<:AbstractVector}
kw = Dict{String, Integer}()
splittext = string.(split(text, " "))
# use for loop and detect_keyword function to get the exact variation of each keyword in the text then push to kw list
for keyword in keywords
ws = detect_keyword.(keyword, splittext)
total = sum(issomething.(ws))
if total != 0
kw[keyword] = total
else
kw[keyword] = 0
end
end
return kw
end
"""
detect_keyword(keyword::String, text::String) -> Union{Nothing, String}
Detects if a keyword exists in the text in different case variations (lowercase, uppercase first letter, or all uppercase).
# Arguments:
- `keyword::String` The keyword to search for
- `text::String` The text to search in
# Returns:
- `Union{Nothing, String}` Returns the matched keyword variation if found, otherwise returns nothing
# Examples:
```jldoctest
julia> detect_keyword("test", "This is a Test case")
"Test"
julia> detect_keyword("error", "NO ERRORS FOUND")
"ERRORS"
julia> detect_keyword("missing", "complete data")
nothing
```
# Signature
"""
function detect_keyword(keyword::String, text::String)::Union{Nothing, String}
# Define the keyword variations to search for
keyword_variations = [keyword, uppercasefirst(keyword), uppercase(keyword), lowercase(keyword)]
# Check if any of the keyword variations are in the text
for variation in keyword_variations
if occursin(variation, text)
return variation
end
end
# Return nothing if no variation is found
return nothing
end
"""
@@ -975,27 +747,39 @@ end
"""
remove_french_accents(text::String) -> String
""" Remove French accents from the given text.
Remove French accents from the given text.
The function replaces accented French characters with their non-accented
counterparts using a dictionary mapping. Supported accented characters
include: à, â, ä, á, é, è, ê, ë, î, ï, í, ñ, ô, ö, ò, ó, ù, û, ü, ÿ, ç,
and their uppercase variants. The apostrophe character `` is removed
completely.
# Arguments
- `text::String` The input string containing French accents.
- `text::AbstractString`
The input string containing French accented characters.
# Returns
- `String` The input string with all French accents removed.
# Return
- `AbstractString`: A new string with all French accents replaced by their
non-accented equivalents.
# Notes
- The function creates a character list and replaces each accented character
according to an internal dictionary mapping.
- Does **not** mutate the input; it allocates a new string.
# Examples
```jldoctest
julia> remove_french_accents("Café")
"Cafe"
```jldoctest
julia> using GeneralUtils
julia> remove_french_accents("Café")
"Cafe"
julia> remove_french_accents("L'été est beau.")
"L'ete est beau."
```
julia> remove_french_accents("L'été est beau.")
"L'ete est beau."
# Signature
julia> remove_french_accents("Noël, naïve, François")
"Noel, naive, Francois"
```
"""
function remove_french_accents(text::AbstractString)::AbstractString
textcharlist = [i for i in text]
@@ -1355,9 +1139,38 @@ function nonRecentElementsIndex(vectorlength::Integer, n::Integer)
return 1:(vectorlength-n)
end
""" Remove specified substrings from text.
Removes all occurrences of each string in `removelist` from the input text
by repeatedly replacing them with empty strings until none remain.
# Arguments
- `text::String`
The input string to modify.
- `removelist::Vector{String}`
A vector of substrings to remove from the text.
# Return
- `String`: The text with all specified substrings removed.
# Examples
```jldoctest
julia> using GeneralUtils
julia> removestring("hello world", ["l", " "])
"heoword"
julia> removestring("foo bar baz", ["bar", " "])
"foobaz"
```
"""
function removestring(text::String, removelist::Vector{String})::String
for i in removelist
while occursin(i, text)
text = replace(text, i => "")
end
end
return string(text)
end
-7
View File
@@ -1,7 +0,0 @@
python -> pandas -> dataframe -> csv
julia -> DataFrames -> dataframe -> csv
dict -> dataframe -> csv