fmr

The goal of {fmr} is to:

Establish R-connection to The Fisheries Manager data provided by Fisheries Technologies
- The current communication is via API’s that provides data in json-format
Provide wrapper functions to FTM tables and views
Provide markdown report templates for various standardized reports
R-code examples for data analysis and graphical presentations

Installing

remotes::install_github("einarhjorleifsson/fmr")

Connection

library(fmr)
library(tidyverse)
key <- "your_FM_API_key"

The FM API

The current API does not provide direct access to the database used by FM (Oracle) but to an API that provides the data in a JSON format. An example of such an interface (here for the gear table) is:

Primary tables

Currently there are three primary datatables within the FM-system:

Auxillary tables

The {fmr} philosophy

The {fmr}-package provides a convenient wrapper to the FM-API so that data can be imported directly into R. The lowest level function is fm_tbl-function. One can e.g. obtain an exact copy of the what can be obtained from the JSON API “surveyItem” (read: The trip table) by using the following arguments:

fm_tbl(table = "surveyItem", key = key, clean = FALSE) |> glimpse()
#> Rows: 5,764
#> Columns: 35
#> $ surveyItemId           <int> 1520, 1529, 1530, 1531, 1535, 1536, 1538, 1540,…
#> $ surveyItemTypeId       <int> 1871, 1871, 1871, 1871, 1871, 1871, 1871, 1871,…
#> $ surveyItemStatusId     <int> 1867, 1867, 1867, 1867, 1867, 1867, 1867, 1867,…
#> $ surveyId               <int> 1481, 1489, 1490, 1491, 1495, 1496, 1498, 1500,…
#> $ depLocationId          <int> 10081, 10081, 10081, 10081, 10080, 10080, 10080…
#> $ depTime                <chr> "2023-01-05T05:00:00.000+00:00", "2023-01-12T09…
#> $ depStatusId            <int> 1861, 1861, 1861, 1861, 1861, 1861, 1861, 1861,…
#> $ arrLocationId          <int> 10081, 10081, 10081, 10081, 10080, 10080, 10080…
#> $ plannedDestinationId   <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ arrTime                <chr> "2023-01-05T15:00:00.000+00:00", "2023-01-12T16…
#> $ arrStatusId            <int> 1856, 1856, 1856, 1856, 1856, 1856, 1856, 1856,…
#> $ vesselId               <int> 1892, 1893, 1892, 2029, 1872, 1997, 1872, 1994,…
#> $ vesselVersion          <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
#> $ secondaryVesselId      <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ secondaryVesselVersion <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ gearId                 <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ secondaryGearId        <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ gearClassId            <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ vesselClassId          <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ climateId              <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ infractionTypeId       <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ infractionDesc         <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ measurementTypeId      <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ fuelUsed               <dbl> NA, 500, 150, 500, NA, NA, 200, 245, NA, 150, 1…
#> $ totalCrew              <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ comment                <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ rank                   <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ imageName              <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ contentType            <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
#> $ tenantId               <int> 103, 103, 103, 103, 103, 103, 103, 103, 103, 10…
#> $ isActive               <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
#> $ createdBy              <chr> "TracyG", "TracyG", "TracyG", "TracyG", "TracyG…
#> $ lastModifiedBy         <chr> "TracyG", "TracyG", "TracyG", "TracyG", "TracyG…
#> $ createdDate            <chr> "2023-02-15T18:53:19.016+00:00", "2023-02-16T15…
#> $ lastModifiedDate       <chr> "2023-02-15T18:53:19.016+00:00", "2023-02-16T15…

This table has actually a lot of variables, starting off with a lot of numerical “Id”s that an average data analyst may be unfamiliar with. …

There are also two addtional notes to make with respect to these “raw” data:

Variable names are in “camel-toe” format meaning some letters are capital format
Some of the variable types are not as expected. Examples are all the datetime variables (depTime, arrTime, createdDate, lastModifiedDate) are set as characters. And then we have a lot of variables that are of type logigcal ()

The reason for the latter is that the API JSON format does not provide type specification of each variable and R imports variables based on the “lowest denominator”.

Most of the function only need the user to supply the FM-API **key*, it being strategically put as the first argument. So e.g. to access the trip table one only needs the following:

fm_trip(key, std = FALSE) |> glimpse()
#> Rows: 5,764
#> Columns: 29
#> $ vessel_id                <dbl> 1892, 1893, 1892, 2029, 1872, 1997, 1872, 199…
#> $ vessel_name              <chr> "God's Blessings", "Togetherness 2", "God's B…
#> $ registration_no          <chr> "V4-601-BW", "V4-475-SP", "V4-601-BW", "V4-53…
#> $ owner                    <chr> "Keithroy David", NA, "Keithroy David", "Alla…
#> $ operator                 <chr> "Valet Pemberton", NA, "Valet Pemberton", "Al…
#> $ dep_time                 <dttm> 2023-01-05 05:00:00, 2023-01-12 09:15:00, 20…
#> $ arr_time                 <dttm> 2023-01-05 15:00:00, 2023-01-12 16:30:00, 20…
#> $ fuel_used                <dbl> NA, 500, 150, 500, NA, NA, 200, 245, NA, 150,…
#> $ site1                    <chr> "Basseterre West", "Basseterre West", "Basset…
#> $ site2                    <chr> "Basseterre West", "Basseterre West", "Basset…
#> $ survey_item_id           <dbl> 1520, 1529, 1530, 1531, 1535, 1536, 1538, 154…
#> $ survey_id                <dbl> 1481, 1489, 1490, 1491, 1495, 1496, 1498, 150…
#> $ comment                  <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
#> $ created_by               <chr> "TracyG", "TracyG", "TracyG", "TracyG", "Trac…
#> $ created_date             <dttm> 2023-02-15 18:53:19, 2023-02-16 15:02:09, 20…
#> $ last_modified_by         <chr> "TracyG", "TracyG", "TracyG", "TracyG", "Trac…
#> $ last_modified_date       <dttm> 2023-02-15 18:53:19, 2023-02-16 15:02:09, 20…
#> $ survey_item_type_id      <dbl> 1871, 1871, 1871, 1871, 1871, 1871, 1871, 187…
#> $ survey_item_status_id    <dbl> 1867, 1867, 1867, 1867, 1867, 1867, 1867, 186…
#> $ dep_location_id          <dbl> 10081, 10081, 10081, 10081, 10080, 10080, 100…
#> $ dep_status_id            <dbl> 1861, 1861, 1861, 1861, 1861, 1861, 1861, 186…
#> $ arr_location_id          <dbl> 10081, 10081, 10081, 10081, 10080, 10080, 100…
#> $ arr_status_id            <dbl> 1856, 1856, 1856, 1856, 1856, 1856, 1856, 185…
#> $ vessel_version           <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
#> $ secondary_vessel_id      <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
#> $ secondary_vessel_version <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
#> $ total_crew               <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
#> $ tenant_id                <dbl> 103, 103, 103, 103, 103, 103, 103, 103, 103, …
#> $ is_active                <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …

fm_tbl(table = "vesselD", key) |> glimpse()
#> Rows: 296
#> Columns: 16
#> $ vessel_id         <int> 1861, 1875, 1889, 1903, 1917, 1929, 1945, 1961, 1977…
#> $ vessel_version    <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
#> $ vessel_name       <chr> "Perseverance", "Royalty", "Kasim", "Adlyn", "MISHOY…
#> $ registration_no   <chr> "V4-594-BE", "V4-503-DB", "V4-149-SP", "V4-443-BE", …
#> $ district_code     <chr> "BE", "DB", "SP", "BE", "CH", "IC", "CH", "IC", "JB"…
#> $ district_no       <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
#> $ class_id          <int> 1029, 1025, 1029, 1029, 1029, 1029, 1029, 1029, 1029…
#> $ tenant_id         <int> 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 10…
#> $ is_active         <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
#> $ isscfv_id         <int> 1029, 1025, 1029, 1029, 1029, 1029, 1029, 1029, 1029…
#> $ category_code     <int> 10, 9, 10, 10, 10, 10, 10, 10, 10, 1, 10, 29, 10, 29…
#> $ category          <chr> "Multipurpose vessels", "Line vessels (other)", "Mul…
#> $ category_abbr     <chr> "MO", "LO", "MO", "MO", "MO", "MO", "MO", "MO", "MO"…
#> $ sub_category_code <dbl> 10.9, 9.9, 10.9, 10.9, 10.9, 10.9, 10.9, 10.9, 10.9,…
#> $ sub_category      <chr> "Multipurpose vessels nei", "Line vessels nei", "Mul…
#> $ sub_category_abbr <chr> "MOX", "LOX", "MOX", "MOX", "MOX", "MOX", "MOX", "MO…