Search Results for 'script'

[Karl M. Rowe]

Hi, Brenden!

“Did you get any syntax errors when running your script in the Script Editor?

“Make sure you don’t use curly quotes or curly apostrophes. That can cause things to fail.”

Ok. Thanks; I will be careful to use straight quotes and check that within that which I may paste into one of my test scripts do not contain curly quotes.

Peace

[D J Leason]

@ Sam Moffatt
Ok so when I first started building the forms, I just did it in the sample form document so I could see the examples. Then I copied my stuff to a separate document. It looks like some of the forms are duplicates, that’s why. Some of that stuff in there like My Movie collection either came in the original TF template download or other templates I got off of the forum. You should be able to tell which forms have to do with herbs. This is not one of my forms:– First Name (fld-9d1bca52fb894f75a01b29fbd789d198)
– Last Name (fld-051eefffbb93476e9e9d65d149641169)
‘Contact’ contact (fld-62e52ae50ee5413abb2f5016d7227183)
‘Website’ web_site (fld-0ca041e8f0974c7ba736d0823010978f)
‘First Name’ text (fld-9d1bca52fb894f75a01b29fbd789d198)
‘Last Name’ text (fld-051eefffbb93476e9e9d65d149641169)
‘Phone Number’ phone (fld-c84e74d1fac64a57b0bdce5b79cc8e3d)
‘Email Address’ email (fld-c05386d884b941808a6822584ca1b642)
‘Street Address’ text (fld-3bbf50e5c9164a2986876229374c8b88)
‘City’ text (fld-fac7bf008a954d5e8bc5354fba68de5d)
‘Province’ text (fld-96389320949f4925a201e85a3452fe79)
‘Postal Code’ text (fld-b97c9408b6d34214bc3778f00c29e59f)
‘Country’ text (fld-5e691c9792bb488594b336ba1ae52c29)
‘Client Documents’ file (fld-3d142c97df914bbeb5671d7e0e1110cb)
‘Client Call Log’ form (fld-01144d1c706e4007a7ad1a7c98fe9147) toMany ‘Client Call Log’ (frm-581dd7a1772345f2af2724c80fa1155b)

This is not my form:Daily Journal: (frm-494dc8cef1934c0393dc932d13ccd94a)
‘Date’ date (fld-bf50f76f8fbe417faf8ae9e627972546)
‘Action’ text (fld-c0cae13ad58546b0a5023cd9d9984815)
‘Journal Entry’ note (fld-3849af82aa3e4304b3fb42441841b3ec)

This is not mine:=== ‘Movie Details’ section (fld-a0d18fb6afa040b59e01bc4ed8bbc811) ===
‘Genre’ text (fld-2a0d16d2aece4562b6f44170cf1736a6)
‘Summary’ note (fld-28cc8f7f082c43818f1169c96c96e5a9)
‘Rating’ rating (fld-3baff54c8e164de9b9ad3f0fbb040bc6)
‘Year Released’ text (fld-3a365169f48a4b69ad37e86e171f0e00)
‘I Watched This’ check_mark (fld-5fda15d66484465da69196949f1b9353)
‘Actor/Actress 2’ text (fld-4cacb0cf58364eb091437ac1834a4862)
‘Actor/Actress 3’ text (fld-2cdb0cf1ef1743b68fa5bda36f694a08)
‘Directed By’ text (fld-522a5de85bcc44e087e473bb2567a471)
‘IMDB Website’ web_site (fld-9bc90613e8db45fea77579f35eb53b9d)

Home Inventory: (frm-5de3dd00a2b44d4b802166979c21f91b)
‘Picture’ photo (fld-294fa505e27c4aa99438339d59c1b40d)
‘Purchased From’ text (fld-2d3154a342914146a6d7cbb8659527fa)
‘Insured Value’ number (fld-3e3c56a2b59d401fba379b508a54e3f2)
‘Number of Items’ number (fld-49afd76a3770426db95569493d17ff87)
‘Received as Gift’ check_mark (fld-57d6f4e4d3cf4e57a9b6f56b9f3bfd51)
‘Serial Number’ text (fld-58095db96d1d4f1c9ca0b1ede05e2802)
‘Purchase Date’ date (fld-5c45c558205e4989836e218b7e2863de)
‘Original Cost’ number (fld-6dbd8f48549a44529d58d9167d2ae142)
‘Location’ text (fld-880ae556bea942e1891b21ca46c582da)
‘Notes’ note (fld-92fa01ec5f5b4204b15695fb00df89c3)
‘Category’ text (fld-9ee801f49a884f9484235d3d4181694d)
‘Purchased Warranty’ check_mark (fld-a5061f32941641e2a89ca68ce172daf1)
‘Condition’ text (fld-b2dc1cf3e0554c1790a80fb1f3b16bce)
‘Item’ text (fld-bffefe6a2a6e4167a680479de15d62a3)
‘Description’ note (fld-da04516482fc48138a2b509394e08962)
‘Current Value’ number (fld-ef1ecf1eaff44d3bbbd0246fdbf8653f)

Or this:
Expenses: (frm-8bff4863a7594cbb8938e0b433ef5efb)
‘Description’ note (fld-e90e747b90dc49c1be7d2c02f07af3bc)
‘Expense Type’ text (fld-5a7a671218d84096847d1732cd214d88)
‘Amount’ number (fld-3da10ad6c3d7445a817fc132162f5937)
‘Date’ date (fld-edb6e5c684c74325a33892af25f42d8c)
‘Have Receipt’ check_mark (fld-b2f71831e8bb4c72913571a762d3baa2)
‘Reimbursed’ check_mark (fld-2310439013c74c598d0711d44ee8efab)
‘Person to Reimburse’ text (fld-de1917d9ba0a4a0d8366815534693890)
‘Paid By’ text (fld-759bcedc78564c649c2f3af957a7750c)
‘Project’ text (fld-c6b48015180948bf9c0e41a58ef1d162)
‘Receipt Photo’ photo (fld-f11218ec5d774ce48d6a293e8b3917e4)
Clients: (frm-0ad8c86d89d04d91873f8a31f4dae2d7)
‘Company’ text (fld-1dd431ab21cb43d28967d1ebb36c23fa)
‘Full Name’ calc (fld-f86ccf72fcf848669d17db555ca697f3)

Or this:
Referenced Fields:
– First Name (fld-9d1bca52fb894f75a01b29fbd789d198)
– Last Name (fld-051eefffbb93476e9e9d65d149641169)
‘Contact’ contact (fld-62e52ae50ee5413abb2f5016d7227183)
‘Website’ web_site (fld-0ca041e8f0974c7ba736d0823010978f)
‘First Name’ text (fld-9d1bca52fb894f75a01b29fbd789d198)
‘Last Name’ text (fld-051eefffbb93476e9e9d65d149641169)
‘Phone Number’ phone (fld-c84e74d1fac64a57b0bdce5b79cc8e3d)
‘Email Address’ email (fld-c05386d884b941808a6822584ca1b642)
‘Street Address’ text (fld-3bbf50e5c9164a2986876229374c8b88)
‘City’ text (fld-fac7bf008a954d5e8bc5354fba68de5d)
‘Province’ text (fld-96389320949f4925a201e85a3452fe79)
‘Postal Code’ text (fld-b97c9408b6d34214bc3778f00c29e59f)
‘Country’ text (fld-5e691c9792bb488594b336ba1ae52c29)
‘Client Documents’ file (fld-3d142c97df914bbeb5671d7e0e1110cb)
‘Client Call Log’ form (fld-01144d1c706e4007a7ad1a7c98fe9147) toMany ‘Client Call Log’ (frm-581dd7a1772345f2af2724c80fa1155b)

[D J Leason]

@Sam MoffattAcquire it: (frm-74f4e0d6356947c490f896281d556587)
‘Herbs’ from_form (fld-21c3aa9d48e6477689ab4466b3c2a364) toOne ‘Herbs’ (frm-a732173d17814494941539b0749bf652)
‘Grow it’ form (fld-03c726089ffb4e27af266ad0e17f338f) toMany ‘Grow it’ (frm-2124581c9aa6486a87f49b58040f34fd)
‘Acquired What?’ text (fld-4e44896b0d414045b4d61b0d978028a6)
‘Choose a type’ text (fld-4d55ae3e92b74869af7c8c90f6753320)

=== ‘If Herbs is chosen then:’ section (fld-79345b6bb9e04cea8071750aa4bed5f4) ===
‘Where’d You Get It?’ text (fld-1568a59cf3d7432780eafba8c32a2ccc)

=== ‘If Harvest, THEN:’ section (fld-0006f142ec25416894c725792b40f933) ===
‘Herb Part Harvested’ text (fld-f4d0fb45a49144fdb7306b441d6ede10)
‘In Herb List?’ check_mark (fld-b43f94c17ab943f595370374d3235b85)
‘How Many?’ number (fld-b43586f25e434bae88c07ac359ab7fbd)
‘Fresh Weight in oz’ number (fld-8c9bc38fe4aa4a9e90fdf7a71fe1401c)
‘Harvest Date’ date_time (fld-63c3c676f11c441781b927c479ab13eb)
‘Harvest Status’ text (fld-d8208602bb324cbdb29e69a6af86c4fd)
‘Harvest Pourpose? ‘ text (fld-26c4f72c511045c6b25e63f31ba2364b)
‘Harvest Action ?’ text (fld-7ab7a0a9e76f4fb0b185dec840eaf933)
‘Note. IF choice:’ note (fld-a26681afaa1b44a18361894065326f9b)

=== ‘If Trade or Gift, THEN:’ section (fld-4809863ec0a449729b43558b5616eeca) ===
‘Acquired Pourpose? ‘ text (fld-44530f3ee1ca48fc8d90b64a61a6ea50)
‘New Herb?’ check_mark (fld-156ab50c1ca04ae59b7d74df24e74882)
‘Date Acquired’ date (fld-e5ae25b9aac249a5ac6d4cbb27fa0b11)
‘Gifted From Who?’ text (fld-531a7086e497455d8617a6bc8917bca0)
‘Traded with Who’ text (fld-c9a8017cba604c84ac0894b272dfe942)
‘Traded for What?’ text (fld-0e04fb7c457a46dda238524386d4eed9)

=== ‘If Herb Purchase, THEN’ section (fld-7ad936be960f41168cdfbfc7c721e547) ===
‘Herb Type’ text (fld-8d0f3b75093643669604bfa5fc3dd245)
‘Purchase Pourpose?’ text (fld-f822dcbad7ce490ca10f3bcf77d9e392)
‘New Herb? 1’ check_mark (fld-e7dd4c4bf83049849a5d8dc03eacd9d8)
‘Plant Part’ text (fld-59120148982f44a299d47da97f40ca02)
‘Country of Origin’ text (fld-e97c186dc9a74ff48da166a5ed1f22de)

=== ‘Purchase Details for any Purchase’ section (fld-627b569bc43141d4815d2445ea4aa29d) ===
‘Item/s’ text (fld-cbb0db3cff7c4ab384873f45e637618c)
‘POS’ date (fld-1acacae813c84e22bf6e74d0a0307504)
‘Order Date’ date (fld-ff868a7f9e234ab98b62517615a38ee5)
‘Expected Delivery Date’ date (fld-3a86190217734411932b7734bc142dc6)
‘Actual Delivery Date’ date (fld-7022767b6de4444c83a03ce31cb8ff0f)
‘Merchant’ text (fld-5f8b78a384504f0e90be6201a1361870)
‘Invoice #’ text (fld-ec8d0e28897b43f687b69f0560623515)
‘Invoice Date’ date (fld-af757ad1d6b3412a9abc85f324266d50)
‘Lot #’ text (fld-2c51062fed814ba18d6358cb8cd71963)
‘Sold BY Unit’ text (fld-7961e767b93f421da64800efcf04e577)
‘# Units Bought’ number (fld-635258ad69f34ab691b779f4a0885021)
‘Price Per Unit’ number (fld-2e1f1423559446c785ca67dd913ff19a)
‘Sales Tax’ number (fld-b06c6ef737d641118c7d54286dfbebed)
‘Shipping Cost’ number (fld-877afc4987584702aaf4956b10977d4f)
‘Invoice Total’ calc (fld-4cb76fa914334e3488c08055bd327653)
Referenced Fields:
– # Units Bought (fld-635258ad69f34ab691b779f4a0885021)
– Price Per Unit (fld-2e1f1423559446c785ca67dd913ff19a)
– Sales Tax (fld-b06c6ef737d641118c7d54286dfbebed)
– Shipping Cost (fld-877afc4987584702aaf4956b10977d4f)
‘Shipping Method’ text (fld-82412dee0a134a509ba197ec0425a2fe)
‘Payment Method’ text (fld-3b002a22312149e0825591c2c51fc506)
‘Payment Date’ date (fld-cf4c746ad4c14d968d42eb1fdf371e88)

Grow it: (frm-2124581c9aa6486a87f49b58040f34fd)
‘Self-Propagting?’ from_form (fld-59fc2857379d434bb6b007741e84d568) toOne ‘Herbs’ (frm-a732173d17814494941539b0749bf652)
‘Acquire it’ from_form (fld-f97f87b172064071abc17a144dc2b938) toOne ‘Acquire it’ (frm-74f4e0d6356947c490f896281d556587)
‘Herb Garden Tips’ web_site (fld-13299b6f18f2416e8dfd0db7407fa5ab)
‘Rare Seeds’ web_site (fld-6e3b2186e4e24ffca042f6dfa999632c)
‘Heirloom Organics_Growing’ web_site (fld-335046c13e94431d998e84fd223ededa)
‘Grow Purpose’ text (fld-ebed041c44e84b5c9059c5aba274b1f0)
‘Growth Habit’ text (fld-ecde08c779434176a84f4ad83e68d5eb)
‘Hardiness Zone’ text (fld-8235fad8b2c443a78782858e76605a94)
‘Herb Type’ text (fld-877285aaf9a4441ba85cb5ee3c08cf81)
‘Flowering_Months’ text (fld-e516265621154b12a10d2b725e8bc344)
‘Seeeds Ripen_months’ text (fld-85e4da2d80a94cd1b89a7b97643b3d48)
‘Self-Propagating?’ text (fld-f77767bc3b864123be2c1703e1530e8a)
‘Germination Needs’ text (fld-31316315e223422a9709c3588d6fbf8d)
‘Stratify length ‘ text (fld-78f2196b418d4d4090be16ee6452ff98)
‘Germination Length_Days’ text (fld-95fa1ebf0a2047f0930b204ce95cacde)
‘Spacing Betweeen Plants’ text (fld-b939da3c5d9044299c1054feab38ea6e)
‘Height’ text (fld-90875e2623ef4c00a4bd1858ebf1b801)
‘Direct Seed?’ text (fld-6ebd797b300c4037a02777fbf4af9361)
‘Frost Tender?’ text (fld-de42c468725a4bccbd96fa3d273c03cd)
‘Growth Rate’ text (fld-1342d8214b3e4b88933bc4fb632590dc)
‘Planting Season’ text (fld-c012d553317443119eacb69650d518d5)
‘Moisture Requirements’ text (fld-ecb61afa77754d379cf03f9d41e172db)
‘Soil Type’ text (fld-e3dd78bb8e8c4f6aa3d915de0eef92f5)
‘Soil PH’ text (fld-704801d77bec45ebb314a6e06bb87962)
‘Shade?’ text (fld-7384758b8f9c449e94d7d5793430abe2)
‘Time Until Harvest ‘ text (fld-cacd1e5741534faa96f875dbcc317908)
‘Harvest – How Many?’ text (fld-2ce2a9ab1cb34a05b38f554c9cec360e)
‘Growing Months’ text (fld-ae28e544b88f46ce94b43d778d83c070)

=== ‘Get Specific about Seeds’ section (fld-f961b7f274184f9cb39ff79bfee8ceb8) ===
‘Date Started’ date (fld-419646ea04874808b18459325eaef491)
‘Date Germinated’ date (fld-e9099285c4a34b87896e872124d3b9d0)
‘% Germinated’ number (fld-157e9011115141c48a9d9e4cfb83a282)
‘Date of First True Leaves’ date (fld-009f42bafd84452ab828475347301c3d)
‘Date Transplnted Outside’ date (fld-760542d650a949a8b0d2d2685e16cd8f)
‘Bed Location’ note (fld-dfdbdabaf5b84dc193cee4f5db8dac63)
‘Expected Harvest Date’ date (fld-c5699d03cc9645cc937e9fb19a3d7703)
‘% Survival’ number (fld-5d640491184049f28ac2acee79d27086)

=== ‘Get Specific about Roots’ section (fld-cf317109c12440818e6db748e27272fe) ===
‘Date Planted’ date (fld-9ed5ad73d2ce4be9b9167462bd0fab81)
‘Container Size’ text (fld-a5aeffb9e30a4f8593a8384adbae7dc5)
‘Container Type’ text (fld-93bbe04c54a54e00a29158bc1a39b8d3)
‘Date Sprouted’ date (fld-11bc4ab0b42d4a1e9c5e6fcba24fa477)
‘Date First Leaves’ date (fld-a891ffd8f40845f2a94867c248b85599)
‘Date Transplanted’ date (fld-a65351b2123f4316b507ce6d203db328)
‘Bed Location’ note (fld-b0c7f98bf6d541bf953535e5e4d860a6)
‘Expected Harvest Date’ date (fld-5c0299ffcd21444d9a9eb6b2ffe111c8)
‘% Survival’ number (fld-13410b660bd4407ab3c387c83c258914)

=== ‘Get Specific about Cuttings’ section (fld-efdc510f3caf47e2b7c3a069cf9127dc) ===
‘Date Cutting Taken’ date (fld-651e5aefe0ff47deb6c50b606938c778)
‘Rooting Method’ text (fld-d3897ff18c094be6836a7f2deee3d7ea)
‘Dates Roots Appeared’ date (fld-d639f3a598314bfd8e023876a5f69fe3)
‘Date Transplanted’ date (fld-b8654bba9a594febbd67d4cf5274f5c6)
‘Bed Location’ note (fld-e7fac249c47a429aa07e612baac3e64c)
‘Expected Harvest Date ‘ date (fld-7afa385d60a8498899d30e971bfa5893)
‘Expected Harvest Date 1’ date (fld-40536b57dd7f414d8eb752f5e12c400d)
‘% Survival’ number (fld-d262894a8abe45f583f322706f9b7513)

=== ‘Get Specific about Live Plants’ section (fld-bc081a1b6db4482fa22320dfe180f43f) ===

Clients: (frm-0ad8c86d89d04d91873f8a31f4dae2d7)
‘Company’ text (fld-1dd431ab21cb43d28967d1ebb36c23fa)
‘Full Name’ calc (fld-f86ccf72fcf848669d17db555ca697f3)
Referenced Fields:
– First Name (fld-9d1bca52fb894f75a01b29fbd789d198)
– Last Name (fld-051eefffbb93476e9e9d65d149641169)
‘Contact’ contact (fld-62e52ae50ee5413abb2f5016d7227183)
‘Website’ web_site (fld-0ca041e8f0974c7ba736d0823010978f)
‘First Name’ text (fld-9d1bca52fb894f75a01b29fbd789d198)
‘Last Name’ text (fld-051eefffbb93476e9e9d65d149641169)
‘Phone Number’ phone (fld-c84e74d1fac64a57b0bdce5b79cc8e3d)
‘Email Address’ email (fld-c05386d884b941808a6822584ca1b642)
‘Street Address’ text (fld-3bbf50e5c9164a2986876229374c8b88)
‘City’ text (fld-fac7bf008a954d5e8bc5354fba68de5d)
‘Province’ text (fld-96389320949f4925a201e85a3452fe79)
‘Postal Code’ text (fld-b97c9408b6d34214bc3778f00c29e59f)
‘Country’ text (fld-5e691c9792bb488594b336ba1ae52c29)
‘Client Documents’ file (fld-3d142c97df914bbeb5671d7e0e1110cb)
‘Client Call Log’ form (fld-01144d1c706e4007a7ad1a7c98fe9147) toMany ‘Client Call Log’ (frm-581dd7a1772345f2af2724c80fa1155b)

Other Herbs : (frm-204eb6e7774c46f19f13f2d9c40bd6e3)
‘Common’ text (fld-0197693a413541988c89d8e988a23909)
‘Latin’ text (fld-145bd1991baf4dada3a28d77168a088c)
‘Uses’ text (fld-2b8a6aa735434ee78cd658e15dcc7232)
‘Action’ text (fld-d93c7345e240492c95ad9d53e789d914)
‘Edibility Rating’ rating (fld-aaf7cf203e45460f9bd4235477ea0e85)
‘Medicinal Rating’ rating (fld-2315b089a09647bcaaabf326422325c4)
‘wild here’ check_mark (fld-9288e346366b4176a4d444d5b2ec0573)
‘will grow’ check_mark (fld-02d35c19770145678ff02fc8e79c087f)
‘cultivated’ check_mark (fld-bffa287a52d84100ade1b6f56c5e6ac5)
‘have seeds’ check_mark (fld-283f009909ed4ca9bcc3b87685856fc6)
‘I buy’ check_mark (fld-f65d72fbbf5c4350a7398896d6b11938)

Tincture Inventory: (frm-b10c959a72384709a862db66783e93b9)
‘Herb’ text (fld-c0b9c321d5da4ca6a1d92f31b91dbe04)
‘Batch’ text (fld-25cfe883f65e4694a4100a6e7292c9bf)
‘Untitled 1’ text (fld-558dc6187b7445e7a3170dfe3e060517)
‘Special’ text (fld-197d61f326d9476cbfa6bf3474e630b2)
‘Date’ date (fld-bb62e2fbbc6c47f59fc767a102eb3b2c)
‘Action’ text (fld-ef78f5b36c9344dca3d60c73f8f54ff8)
‘OZ R & D’ number (fld-98bfe8b85eed4367809260134bdef194)
‘per use’ number (fld-a8e58f5001d24698af33088bc548c0f1)
‘samples’ number (fld-d35297627ad84690a47bbf8543200153)
‘spilled’ number (fld-cd66d9c5c13b4281b2793fee9db2af35)
‘Spoiled’ number (fld-d4a256fc5c304fe79fdce782634ee15e)
‘oz Pantry Btm shlf’ number (fld-5f435fcf37ca482f9bf707c40e77e96d)
‘Pantry BTM shlf date’ text (fld-27285e0ce8ec43508db2e0d273134316)
‘Pantry Btm shlf Bottle size’ text (fld-0820a286a6e0457593b249cd65744b91)
‘Pantry mid-shlf Bottle Date’ text (fld-660b476a9a65479996ecc982693c19ac)
‘Pantry oz mid-shelf’ number (fld-1b2bd2f6425244089c55460bb3b1ff92)
‘Pantry mid shlf Bottle size’ text (fld-1e025eec767c451095962ac4e5c981c0)
‘Pantry MT bottle size’ text (fld-7e82f6314b76473ba3969f4238b57bac)
‘Pantry oz in BB’ number (fld-de386a5795614dd29d9d2b868f8510b7)
‘Pantry Date of BB’ text (fld-30b21fb0915b4ebaa244a8cba631b71a)
‘Cave Box #’ text (fld-75632d4714a9458dbfa7a48f021fd734)
‘Cave bottle date’ text (fld-72a8fb11c6d64762af84c17e05a094ea)
‘oz in Cave’ number (fld-6a6d440c5a5941778bbfbbc571d266b1)
‘Cave Bottle size’ text (fld-d382cdbdbf4c4269b10f36d5e75061ef)
‘Cellar Section’ number (fld-a945355dd3434ca68d7c316ed59816df)
‘Untitled 2’ text (fld-02512eddd1c54dcea35f658a1e6d92f4)
‘Cellar Row’ text (fld-9fa3db38b6994bd1aa71159156103bc8)
‘Cellar bottle date’ text (fld-b8cfe79333474ad89595b3b1d9ee84f2)
‘oz in Cellar’ number (fld-5d4ba2d214a945eb961c96cb776271d5)
‘Cellar bottle size’ text (fld-ad890ebbe6d345169e5a024972727a07)
‘probable ounces Macerating’ number (fld-23fe60d6d7e748c3970a70aee3fb6c94)
‘Mac. end Date’ text (fld-3428161186164226a40abcf3c0a6b9e1)
‘Mac jar size’ text (fld-4098d46c3d2646a38383fcee4e76a8ae)
‘Yield in oz’ number (fld-c699d1c12cab4bfeac21c4b2e48f8727)
‘TTL oz on hand’ number (fld-4dc34eaa13964f21a243c1330a81019f)
‘Used’ number (fld-9e64e35cad20437a8236c38e143e6d35)
‘Notes’ text (fld-05058ab63b2b430091bade2f66196bdc)

Alerts: (frm-5b3c76e1e2d74bc193a918f42fc38271)
‘New Field’ text (fld-0360c28e51fd451fadadb9fb5eff47a7)

Herbs: (frm-a732173d17814494941539b0749bf652)
‘Common Name’ text (fld-53033594246f46e79a979e4f1efc4ea3)
‘Latin Name’ text (fld-805634cd53944bb3926a88ec4e710e55)
‘Other Names’ text (fld-fa598b8b78614af09c4f885066d35d2a)
‘Materia Medica’ text (fld-0dbd80b770264ef586dd41be4ba2feb7)
‘Plant Family’ text (fld-dafddd4d49b14d888caf2bd5b2fecfaf)
‘Part Used’ text (fld-6433904c764c4e5a85a425defd66de41)
‘Habitat’ text (fld-67b4db01bc1d47e0991caacee10b18ac)
‘Photo’ photo (fld-8c88231c0f09414aa13c3c73d9d72c53)
‘Edible’ check_mark (fld-5fd4b7d226134c8698fd1fa17016dcd7)
‘Edible Rating’ rating (fld-f3cb5066047e461bb64fbb4bff4aae42)

=== ‘Medicinal Attributes’ section (fld-cc21c093ac9a427b92660d6dae843d20) ===
‘ Safety Rating’ rating (fld-b40bbdcf4e95419192ee95e2882a8061)
‘Medicinal’ check_mark (fld-466e9b2edf654cc39a3d280640786548)
‘Medicinal Rating’ rating (fld-260a5fd2885b4cfdb6e18778c24b7964)
‘Taste’ text (fld-fdb6a611ecf3485d8402e307186bcb53)
‘Energeticcs’ text (fld-d50f5f57b3f94a92b8122a17d02816c4)
‘Herb Actions’ text (fld-bdd995c6157b42b1bde62c07e8bb49d4)
‘Conditions’ text (fld-9806e2c467244f12a8fc41e38e9d0d36)
‘System’ text (fld-328f130f4cc442e790540b9e09a90a8f)
‘Body Parts’ text (fld-e4f85e78fd72489e868c23dd0e40246c)
‘Main Constituents’ text (fld-49f43952a40b47be82d7b23ab5b2f644)
‘Warnings’ text (fld-467b9bac8b2044a4bce1c7c109c9a911)
‘Monograph’ web_site (fld-642bf84f91014e929b755410d79b2a1a)
‘PFAF’ web_site (fld-03b42c19e7a045d88bce4c5236b956ad)
‘European Union Monograph’ web_site (fld-3db75b9bce5d43b7a69ea5b1886f7563)
‘Good Info Website’ web_site (fld-3993082f85c544fca3e9b04d5759ef4a)
‘Matthew Wood’ web_site (fld-3ff110cc01724f98a4162040c900ad99)

=== ‘Plant Characteristics’ section (fld-ef2fc1fe10a343ef8c22e3545bcd5a8d) ===
‘Description’ note (fld-d5fdd0c220da4fcfae94b01ef4803496)

=== ‘OK, So…’ section (fld-35cd3a8d220345dca563d286f049c3ab) ===
‘Do What ?’ text (fld-ff89d9be36aa4d7fa295dd3dd9ecba51)

=== ‘Linked Forms’ section (fld-9f82b5512358444c8867145f00c68775) ===
‘Work In Progress’ form (fld-82e3a915254749d9b42f0d9de43abb9b) toMany ‘Work In Progress’ (frm-5a9d3b56f074403f886a27910f146493)
‘WIP_Weight To Volume Calculator’ form (fld-9e3a4c8a824844f19283b5fff7dff77e) toMany ‘WIP_Weight To Volume Calculator’ (frm-84324ea377e54fec97bbd8d89835113d)
‘Acquire it’ form (fld-de91a0cc3851495180b36a2de6974fd5) toMany ‘Acquire it’ (frm-74f4e0d6356947c490f896281d556587)
‘Grow it’ form (fld-9bc16bb74942483faa779eddbe84e6f3) toMany ‘Grow it’ (frm-2124581c9aa6486a87f49b58040f34fd)
‘Consume it’ form (fld-30f5c6a99e1b40a9a64df0986d7f8c46) toMany ‘Consume it’ (frm-c427d441f64543a6940c1beb72d9995f)

=== ‘Wish Granted! Carry on Grasshopper.’ section (fld-816271282b1143fc8e0c2cca222fd081) ===

WIP_Weight To Volume Calculator: (frm-84324ea377e54fec97bbd8d89835113d)
‘Herbs’ from_form (fld-30a462ca83394202bc09fe54ac2a01b6) toOne ‘Herbs’ (frm-a732173d17814494941539b0749bf652)
‘Work In Progress’ from_form (fld-92a2891f30d8478ebf33dc55956192f8) toOne ‘Work In Progress’ (frm-5a9d3b56f074403f886a27910f146493)
‘Daily Herb Log’ form (fld-8bca54a06eb94d529c470ead2d49bfe6) join ‘Daily Herb Log’ (frm-d8963fdc083a44b99e9813294cd14dfd)
ON WIP_Weight To Volume Calculator.Herb Log Entry == Daily Herb Log.Log Entry
‘Input oz of Marc’ number (fld-4509fc9cff754ce2b93cdedd1183e577)
‘Input Materia Medica Ratio A’ number (fld-a8b446e68801418096c95fc200f212c4)
‘Input Materia Medica Ratio B’ number (fld-fbfe7004cde9425ca36c1726ca4fb70c)
‘Input Materia Medica %A’ number (fld-f2dbb3a6833d4f33a2a8aac84750601f)

=== ‘RESULTS_BEST CHOICE’ section (fld-92950bd22d984065bffc70d26f865091) ===
‘Menstruum Volume’ calc (fld-4f06f3f545ae47e888fe763f8dc931c7)
Referenced Fields:
– Input oz of Marc (fld-4509fc9cff754ce2b93cdedd1183e577)
– Input Materia Medica Ratio B (fld-fbfe7004cde9425ca36c1726ca4fb70c)
‘oz of Alcohol’ calc (fld-81c4d5e65e31495288b6efefa3961829)
Referenced Fields:
– Menstruum Volume (fld-4f06f3f545ae47e888fe763f8dc931c7)
– Input Materia Medica %A (fld-f2dbb3a6833d4f33a2a8aac84750601f)
‘oz of Water’ calc (fld-4f37604c8a8e42799102b35e005e7ea5)
Referenced Fields:
– Menstruum Volume (fld-4f06f3f545ae47e888fe763f8dc931c7)
– oz of Alcohol (fld-81c4d5e65e31495288b6efefa3961829)
‘Combined Marc & Menstruum’ calc (fld-46c3b77fa67544028678aadd09a27a78)
Referenced Fields:
– Input oz of Marc (fld-4509fc9cff754ce2b93cdedd1183e577)
– Menstruum Volume (fld-4f06f3f545ae47e888fe763f8dc931c7)
‘Cups’ calc (fld-b5457cbb3ce0451cbb62694b5b0a4352)
Referenced Fields:
– Combined Marc & Menstruum (fld-46c3b77fa67544028678aadd09a27a78)
‘Jar Size Needed’ calc (fld-9436396b3e274e8f9770f7e635478340)
Referenced Fields:
– Cups (fld-b5457cbb3ce0451cbb62694b5b0a4352)

=== ‘HIGHER RATIO ONLY IF MARC NOT COVERED BY MENSTRUUM’ section (fld-dfb93cffebc3426e81bb1d09e47654c0) ===
‘MARC NOT COVERED?’ check_mark (fld-e63ddf151f9b42f2a045b046b8eefcc6)
‘Edited_ Input Materia Medica Ratio B ‘ calc (fld-7929ec5788ae4c8a864d543763592e2a)
Referenced Fields:
– Input Materia Medica Ratio B (fld-fbfe7004cde9425ca36c1726ca4fb70c)
‘Menstruum Volume_New value’ calc (fld-484e455473704c38b7dd0d4c47cf70f1)
Referenced Fields:
– Input oz of Marc (fld-4509fc9cff754ce2b93cdedd1183e577)
– Edited_ Input Materia Medica Ratio B (fld-7929ec5788ae4c8a864d543763592e2a)
‘oz of Alcohol _New Value’ calc (fld-ec7cb70685cd42948fe6cee017eacc16)
Referenced Fields:
– Menstruum Volume_New value (fld-484e455473704c38b7dd0d4c47cf70f1)
– Input Materia Medica %A (fld-f2dbb3a6833d4f33a2a8aac84750601f)
‘oz Water _New Value’ calc (fld-a8f5551569f2401391603607d4639aa3)
Referenced Fields:
– Menstruum Volume_New value (fld-484e455473704c38b7dd0d4c47cf70f1)
– oz of Alcohol _New Value (fld-ec7cb70685cd42948fe6cee017eacc16)
‘Combined Marc & Menstruum _New Value’ calc (fld-8c10941125a04b4fb05cd264c910b931)
Referenced Fields:
– Input oz of Marc (fld-4509fc9cff754ce2b93cdedd1183e577)
– Menstruum Volume_New value (fld-484e455473704c38b7dd0d4c47cf70f1)
‘Higher Ratio_oz Alcohol To Add’ calc (fld-f9dc5f3b14a64e55b53acb559651e43b)
Referenced Fields:
– MARC NOT COVERED? (fld-e63ddf151f9b42f2a045b046b8eefcc6)
– oz of Alcohol _New Value (fld-ec7cb70685cd42948fe6cee017eacc16)
– oz of Alcohol (fld-81c4d5e65e31495288b6efefa3961829)
‘Higher Ratio_oz Water To Add ‘ calc (fld-b56c00b9ef4342b6ae213b0f276fd2ed)
Referenced Fields:
– MARC NOT COVERED? (fld-e63ddf151f9b42f2a045b046b8eefcc6)
– oz Water _New Value (fld-a8f5551569f2401391603607d4639aa3)
– oz of Water (fld-4f37604c8a8e42799102b35e005e7ea5)
‘Cups _New Value’ calc (fld-fb0295bb887b4d1f8f5cb3956bfc187d)
Referenced Fields:
– Combined Marc & Menstruum _New Value (fld-8c10941125a04b4fb05cd264c910b931)
‘New Jar Size Needed ‘ calc (fld-7624875a59844ebaa9827877140a4678)
Referenced Fields:
– Cups _New Value (fld-fb0295bb887b4d1f8f5cb3956bfc187d)
‘Jar Check’ calc (fld-f86447954aa8415cb98666d1945ec083)
Referenced Fields:
– MARC NOT COVERED? (fld-e63ddf151f9b42f2a045b046b8eefcc6)
– Jar Size Needed (fld-9436396b3e274e8f9770f7e635478340)
– New Jar Size Needed (fld-7624875a59844ebaa9827877140a4678)

=== ‘WRAP IT UP’ section (fld-7236e1c9fb5e4ea49f019764080e55e1) ===
‘Mac Start Date’ date (fld-c5149916ab6746dc8476f4207f12b34e)
‘Mac End Date’ date (fld-054a9038b5804bafaf34baacf6d1074f)
‘Herb Log Entry’ calc (fld-20d3af56ce944530bccb0639b0a05424)
Referenced Fields:
– Mac Start Date (fld-c5149916ab6746dc8476f4207f12b34e)
– Work In Progress::WIP_Action (frm-5a9d3b56f074403f886a27910f146493::fld-aac2cbe4036844dabdfd11382d5cce26 via fld-92a2891f30d8478ebf33dc55956192f8)
– Jar Size Needed (fld-9436396b3e274e8f9770f7e635478340)
– Herbs::Common Name (frm-a732173d17814494941539b0749bf652::fld-53033594246f46e79a979e4f1efc4ea3 via fld-30a462ca83394202bc09fe54ac2a01b6)
– Work In Progress::WIP_Preparation (frm-5a9d3b56f074403f886a27910f146493::fld-4037302dfd544f538ebd9ae4a05ef72d via fld-92a2891f30d8478ebf33dc55956192f8)
– Work In Progress::Choose a stripe (frm-5a9d3b56f074403f886a27910f146493::fld-604c0e1eb74e4be481a4c79d201d2700 via fld-92a2891f30d8478ebf33dc55956192f8)
– Work In Progress::Choose a Status (frm-5a9d3b56f074403f886a27910f146493::fld-16627063a01a44b7a1502aed4cfc1736 via fld-92a2891f30d8478ebf33dc55956192f8)
– Work In Progress::Cauldron Contents (frm-5a9d3b56f074403f886a27910f146493::fld-c9cbf78998354713a5f3c1fa9b13f728 via fld-92a2891f30d8478ebf33dc55956192f8)
– Input oz of Marc (fld-4509fc9cff754ce2b93cdedd1183e577)
– Work In Progress::Choose A Method (frm-5a9d3b56f074403f886a27910f146493::fld-7a6a11b04dae48e0b8687c3798a828c7 via fld-92a2891f30d8478ebf33dc55956192f8)
– Work In Progress::Choose a Menstruum (frm-5a9d3b56f074403f886a27910f146493::fld-b0ea1804c0ee47d98212f7050d9ca9b7 via fld-92a2891f30d8478ebf33dc55956192f8)
– Input Materia Medica Ratio A (fld-a8b446e68801418096c95fc200f212c4)
– Input Materia Medica Ratio B (fld-fbfe7004cde9425ca36c1726ca4fb70c)
– Input Materia Medica %A (fld-f2dbb3a6833d4f33a2a8aac84750601f)
– oz of Alcohol (fld-81c4d5e65e31495288b6efefa3961829)
– oz of Water (fld-4f37604c8a8e42799102b35e005e7ea5)
– Mac End Date (fld-054a9038b5804bafaf34baacf6d1074f)
‘Script’ script (fld-663bc82b609142a381bb36923ed0ef7b)
‘Script’ script (fld-5eb6fd48e6f44b4286bf43bea2d8a0d6)

Research it: (frm-f5f73c5cef734d3ea46217d97461a3ea)
‘Kelly_Momographs’ web_site (fld-f01178eda4b74592964af97f78103271)
‘PFAF’ web_site (fld-84cccfa4408740f09013de939ca6372c)
‘Herbpathy’ web_site (fld-94f36f15f5204965809c0c35be24ab7d)
‘Rosalee’ web_site (fld-5c8fc469d0744bf2bfaac5bc0d4d70c0)
‘Jim Mcdonald’ web_site (fld-903b22cf4d744f56bc573ce39720fa35)
‘Matthew Wood’ web_site (fld-6003c3ad071d4ec5a9e4a8b854bad080)
‘Herb/Action’ web_site (fld-946cddd05abf4746b5e13544dee320ed)
‘Annie’s Remedy’ web_site (fld-07912019fb384521b844eda5ecc84dbb)

Client Call Log: (frm-581dd7a1772345f2af2724c80fa1155b)
‘Topic’ text (fld-e67b43da03a24c66a018ae657c9d6b1f)
‘Call Date & Time’ date_time (fld-cc5830eb7be2455e9ab79fde89d6df84)
‘Notes’ note (fld-0a123c2403c74438931765932524f2e7)
‘Clients’ from_form (fld-99caf798c8af40e189f71833a41943d4) toOne ‘Clients’ (frm-0ad8c86d89d04d91873f8a31f4dae2d7)

Work In Progress: (frm-5a9d3b56f074403f886a27910f146493)
‘Herbs’ from_form (fld-aef0c8324dcb488da427251577d2b717) toOne ‘Herbs’ (frm-a732173d17814494941539b0749bf652)
‘WIP_Weight To Volume Calculator’ form (fld-0b7244331649440bad48e7a79750d3d4) toMany ‘WIP_Weight To Volume Calculator’ (frm-84324ea377e54fec97bbd8d89835113d)
ON Work In Progress.Herb Log Entry == WIP_Weight To Volume Calculator.Herb Log Entry
‘Date ?’ date (fld-64e7d72953ed43f4ad4d8101b1cf9ca8)

=== ‘Preparation Stage’ section (fld-d19700c1da0f43008c7c4e4fa3a00b19) ===
‘WIP_Action’ text (fld-aac2cbe4036844dabdfd11382d5cce26)
‘WIP_Preparation’ text (fld-4037302dfd544f538ebd9ae4a05ef72d)
‘Choose a stripe’ text (fld-604c0e1eb74e4be481a4c79d201d2700)
‘Choose a Status’ text (fld-16627063a01a44b7a1502aed4cfc1736)
‘Cauldron Contents’ text (fld-c9cbf78998354713a5f3c1fa9b13f728)
‘Choose A Method’ text (fld-7a6a11b04dae48e0b8687c3798a828c7)
‘Choose a Menstruum’ text (fld-b0ea1804c0ee47d98212f7050d9ca9b7)
‘Choose a Jar Size’ text (fld-b18cc67d98db4ed8a52ab15ea97ffbfe)
‘Choose a Phase’ text (fld-4ccdbe9d0e13423a9f9e3b157f003380)
‘Choose a Mac Time’ text (fld-b4caab4504b64b7f944d1cb2c366c9bb)
‘Mac Start Date’ date (fld-ef219eac291c4195a0db8f3e9316bca6)
‘Mac End Date’ date (fld-12c78ef39b2e4004b8e19c301b2d0fb8)
‘Herb Log Entry’ calc (fld-33bbc3ec82e64d1aaa15541cca5da6b5)
‘Start Pic’ photo (fld-5c607dda5b57470bba69da969624ded9)
‘Strain Date’ date (fld-b68b6237676e498191b42a0023bd148f)
‘Batch #’ number (fld-8bd2403259d24bc1a3b420b711acd322)
‘Strain Pic’ photo (fld-16b830b450724eb1a04248447570789f)
‘Yield in oz’ number (fld-361296f7124e46038038c184aa2b71c4)
‘White Board’ photo (fld-6ab46c23ba7e43449617e9342d1d7d16)
‘Date Bottled’ date (fld-65df83e284cb44498807962900c9bd1d)
‘Bottle Size’ text (fld-e624bad905b44dce94027310b37b1425)
‘Calculation’ calc (fld-8b8888d83efe47b0ba7374a12fd31a53)
Referenced Fields:
– Choose A Method (fld-7a6a11b04dae48e0b8687c3798a828c7)
– Herb Log Entry (fld-33bbc3ec82e64d1aaa15541cca5da6b5)
– WIP_Weight To Volume Calculator::Herb Log Entry (frm-84324ea377e54fec97bbd8d89835113d::fld-20d3af56ce944530bccb0639b0a05424 via fld-0b7244331649440bad48e7a79750d3d4)
‘Bottle ID’ text (fld-a7c381d036bd48778cbd948771b8edd0)
‘bottled Pic’ photo (fld-2a52530c20a146b4b20a11c12c4a0831)

=== ‘Wrap It Up’ section (fld-fa211617c5174873a13d681d9360b1ac) ===

Log Book: (frm-0a04294de19d4c5caaa0f68d60926263)
‘Date of Activity’ date (fld-285f02cf6fdd4a399bcf775ca964fc02)
‘Herb’ text (fld-0ee388c052724add952ba2cfa0c6ebeb)
‘Activity Name’ text (fld-17afeb9904e94f348ba4e565a40e3330)
‘Notes’ note (fld-abf557592bcf4bda8f68a93fddb0bc52)

Consume it: (frm-c427d441f64543a6940c1beb72d9995f)
‘Herbs’ from_form (fld-770689fdf00541378d92c3fc240a4bc1) toOne ‘Herbs’ (frm-a732173d17814494941539b0749bf652)
‘Vitamins’ text (fld-49f2ded1026d46cda1f1789ee3d7f69a)
‘Drinkable Parts ‘ text (fld-8bd6866c87f1477a877e38883c57c331)
‘Drinkable Preparations’ text (fld-55bbcddbc70f49d48b2dab6e223fa040)
‘Edible Parts’ text (fld-ab0c6e8854ad4999b056681527b4de4a)
‘Edible Preparations’ note (fld-103596f6278949b984e17f711ee14f7d)
‘Recipe 1’ note (fld-1bfa1a0686944c92bcf74a0f7ef0b0a8)
‘Recipe 2’ note (fld-ea1982370ef449138b4dce233178958d)
‘Recipe 3’ note (fld-a1a16af2821145fabaf6b52411b0ae2a)
‘Recipe 4’ note (fld-f89cb2fbde9e48488560a58ba89e7e71)
‘Recipe 5’ note (fld-79da02e83aef446f8ce539a62e61a61b)
‘Infusion Recipe’ note (fld-2c750714e6cc4bc38a4894e6ffe3918a)

Important Dates: (frm-0c90999bee5043eaaa6e65009bb70596)
‘Event Name’ text (fld-d263980c4ef84dc5b46a8eaa4806bcda)
‘Date’ date (fld-48ba15e9f7b74dc6838eda5213454737)
‘Details’ note (fld-18c34691b0fb4738b3b68afd95f23463)
‘Photo’ photo (fld-5b336351e7184449a961de3e90b2c608)

Individual Herb Logs: (frm-7243b873a8384d81842704766448e43c)
‘New Field’ text (fld-2091a836a73c4f1194a99b840fec2fa1)

Herbal Actions Glossary: (frm-4fa0b95ad9624e9ea5826a8a6064d479)
‘Action’ text (fld-98e162b373cc40d5a5c847fd8b533bd6)
‘Herb Examples’ text (fld-584ba2a1c5c845ff8c20f4b7e8bd8ef8)
‘Works How’ text (fld-7aa6fa0392ff4816999253f450bde118)
‘Source’ text (fld-2165d5e70ab74e3faa1f87676e1db791)
‘Uses’ text (fld-85b8a13df3b246438933c7069b2ce381)

Expenses: (frm-8bff4863a7594cbb8938e0b433ef5efb)
‘Description’ note (fld-e90e747b90dc49c1be7d2c02f07af3bc)
‘Expense Type’ text (fld-5a7a671218d84096847d1732cd214d88)
‘Amount’ number (fld-3da10ad6c3d7445a817fc132162f5937)
‘Date’ date (fld-edb6e5c684c74325a33892af25f42d8c)
‘Have Receipt’ check_mark (fld-b2f71831e8bb4c72913571a762d3baa2)
‘Reimbursed’ check_mark (fld-2310439013c74c598d0711d44ee8efab)
‘Person to Reimburse’ text (fld-de1917d9ba0a4a0d8366815534693890)
‘Paid By’ text (fld-759bcedc78564c649c2f3af957a7750c)
‘Project’ text (fld-c6b48015180948bf9c0e41a58ef1d162)
‘Receipt Photo’ photo (fld-f11218ec5d774ce48d6a293e8b3917e4)

My Movie Library: (frm-f49181f7a0944a8f963d6e56ea9833e7)
‘Case Cover’ photo (fld-e2cf02f376864a7cb9f090e4a597f3e4)
‘Movie Title’ text (fld-987c9aac738a4f0fa1d18395902b3fb1)
‘Actor/Actress 1’ text (fld-c8ad6ad088bb4b57a09917de6793919b)

=== ‘Movie Details’ section (fld-a0d18fb6afa040b59e01bc4ed8bbc811) ===
‘Genre’ text (fld-2a0d16d2aece4562b6f44170cf1736a6)
‘Summary’ note (fld-28cc8f7f082c43818f1169c96c96e5a9)
‘Rating’ rating (fld-3baff54c8e164de9b9ad3f0fbb040bc6)
‘Year Released’ text (fld-3a365169f48a4b69ad37e86e171f0e00)
‘I Watched This’ check_mark (fld-5fda15d66484465da69196949f1b9353)
‘Actor/Actress 2’ text (fld-4cacb0cf58364eb091437ac1834a4862)
‘Actor/Actress 3’ text (fld-2cdb0cf1ef1743b68fa5bda36f694a08)
‘Directed By’ text (fld-522a5de85bcc44e087e473bb2567a471)
‘IMDB Website’ web_site (fld-9bc90613e8db45fea77579f35eb53b9d)

Home Inventory: (frm-5de3dd00a2b44d4b802166979c21f91b)
‘Picture’ photo (fld-294fa505e27c4aa99438339d59c1b40d)
‘Purchased From’ text (fld-2d3154a342914146a6d7cbb8659527fa)
‘Insured Value’ number (fld-3e3c56a2b59d401fba379b508a54e3f2)
‘Number of Items’ number (fld-49afd76a3770426db95569493d17ff87)
‘Received as Gift’ check_mark (fld-57d6f4e4d3cf4e57a9b6f56b9f3bfd51)
‘Serial Number’ text (fld-58095db96d1d4f1c9ca0b1ede05e2802)
‘Purchase Date’ date (fld-5c45c558205e4989836e218b7e2863de)
‘Original Cost’ number (fld-6dbd8f48549a44529d58d9167d2ae142)
‘Location’ text (fld-880ae556bea942e1891b21ca46c582da)
‘Notes’ note (fld-92fa01ec5f5b4204b15695fb00df89c3)
‘Category’ text (fld-9ee801f49a884f9484235d3d4181694d)
‘Purchased Warranty’ check_mark (fld-a5061f32941641e2a89ca68ce172daf1)
‘Condition’ text (fld-b2dc1cf3e0554c1790a80fb1f3b16bce)
‘Item’ text (fld-bffefe6a2a6e4167a680479de15d62a3)
‘Description’ note (fld-da04516482fc48138a2b509394e08962)
‘Current Value’ number (fld-ef1ecf1eaff44d3bbbd0246fdbf8653f)

Store it: (frm-5914a244ee7a478d836605e1ceaca953)
‘Dried Herb Container’ text (fld-574f012a9265474ca68e3c59b1b943f8)
‘Inventory Action’ text (fld-83f511fd2091454e8ef8eeb5aadc262f)
‘Storage Locations’ text (fld-e64b8d6a0e494b3b8287305191667e00)
‘Cellar Section #’ text (fld-90f2d815788f4f76854080d1c494337a)
‘Cellar Shelf ‘ text (fld-ec4c73b99f514318b3e7ea20f1b2720b)
‘Notes’ note (fld-2e34014633244ec7b22f3cc377150003)

Inventory_Fresh Herbs: (frm-633224c604b743029fab93e0cf9f2dec)
‘Harvest Date’ date (fld-91f73c36391d4ec5bbfa842bea1cd903)
‘Herb’ text (fld-e2f93b8b16c74327aa67d13b2b9f84fe)
‘How Many?’ number (fld-a500d28abdb44412aa6fec74272f2982)
‘Weight in oz’ number (fld-341af6b69de7468cb66d15476f87d01a)
‘Status’ text (fld-7c0d28cb2c7d4a4facace3004129f5d3)

Daily Journal: (frm-494dc8cef1934c0393dc932d13ccd94a)
‘Date’ date (fld-bf50f76f8fbe417faf8ae9e627972546)
‘Action’ text (fld-c0cae13ad58546b0a5023cd9d9984815)
‘Journal Entry’ note (fld-3849af82aa3e4304b3fb42441841b3ec)

Body Systems: (frm-5689d126c1f44e98843d54531ced1573)
‘System Name’ text (fld-a66eec23cee047a8a184018cc2d44ebe)
‘Components’ text (fld-9ed000b2c5554cb6ab83d927886f4071)
‘Role’ text (fld-3c8009f517584efa8b04d0bfc7cfad1a)
‘www’ text (fld-5577937cc591496e8979cffe2f74a292)

Process it: (frm-19c79fbfc71e4cd29a7cc4e83b96794a)
‘Herb Drying’ text (fld-a0c7bc6ac71346f193f2420b2f86c96f)
‘Harvest Date’ date (fld-b269a193e4ec44c9a5a96997a403bf00)
‘Drying Method’ text (fld-d64183db6f8e42369d337a7b9b958d88)
‘Tray, Rack or Wire NO.’ text (fld-c956585a946844418ff5ab248fb741e7)
‘Date Drying Complete’ date (fld-74bdd877ca4c40579b660cbe52d79a94)
‘Dried Herb Container’ text (fld-3ef91aef638e486085ff213fc3bbaaed)
‘Dry Weight in oz’ number (fld-65cdaa10ea234ff296a49ca5cda9a66a)
‘Dry Storage Location’ text (fld-4e2227e58eee487aa87ba5337f1ca662)

Daily Herb Log: (frm-d8963fdc083a44b99e9813294cd14dfd)
‘Date’ date (fld-459c4747e4a54cbfbba7f1dc858d3ec4)
‘Log Entry’ text (fld-7b48a204950a4f9a86f3771e8a51711e)

[Sam Moffatt]

Interesting! You hit a bug, I’ll have to figure out what happened there and ship a fix.

Do you mind attaching a copy of the following files in your /tmp directory (from the terminal you can use open /tmp to have Finder open up the path for you):

– Any files prefixed with tf_servers
– Any files prefixed with tf-dns_sd_resolve

They should have a random suffix of a period followed by seven characters. These are plain text files that contain the debugging data for the script.

This location is cleaned up when you restart, so if you restarted you’ll have to redo the steps from the start again. If you haven’t restarted, they should be there. My guess is that I am not handling some whitespace properly in my script. The address details will also change a little each time you close and reopen the document in TapForms again but hopefully I can just fix the script for you.

Thanks for testing!

[Sam Moffatt]

POC is proof of concept and I’m still trying to figure out a good way to map your model. This can be automated but getting the right structure is the key to that part.

We can pull something together in TapForms, might need to pull in a few scripts but it’s surely doable. In another thread I’ve started a nascent point of sale system, I’m sure once we can nail this together we’ll be able to get this to shine.

How comfortable are you with the MacOS “Terminal” application? I want you to run some stuff for me to help me get a better understanding of your structure. Assuming you’re sort of comfortable or at least willing to give it a go, here are some instructions that should work. You can see a video of what it looked like on my machine here: https://asciinema.org/a/cCqqZdK1TzaYbk6KFxi003mr2

Before we start, in TapForms open up “Preferences” and go to the “Sync” tab. On the left hand side below the options there is a database ID like “db-c4bb7e8222bb4befb0a6d9ddf8b00d69”. Keep a copy of that somewhere, you’ll need it later. Make sure your TapForms document is open whilst everything is going on.

Use Spotlight to open “Terminal” or use Finder to go to “Applications” then “Utilities” and then launch “Terminal” from there. It’ll open up a new window and we’re going to type some stuff in (you can copy and paste each line one at a time across):

cd /tmp
curl -LO https://github.com/pasamio/tftools/archive/master.zip
unzip master.zip
cd tftools-master/
bin/tf-finder.sh
cat /tmp/tf-hosts 

At this point all going well you should have a list of TapForms instances on your screen. It looked like this for me:

https://deported.local.:65007/db-c1da6869786341efbd8dbe2021a8df72
https://deported.local.:65017/db-5af742cf299940b1b9ad32e7fae7ec41
https://deported.local.:55778/db-c4bb7e8222bb4befb0a6d9ddf8b00d69

Now I want the last one because the ‘db-c4bb7e’ matches the one from my TapForms preferences earlier. I’m going to type in one more command: ./build-tree.php https://deported.local.:55778/db-c4bb7e8222bb4befb0a6d9ddf8b00d69 to print out the structure. It’s a little hard to see on the recording but it looks like this:

$ ./build-tree.php https://deported.local.:55778/db-c4bb7e8222bb4befb0a6d9ddf8b00d69
Processing https://deported.local.:55778/db-c4bb7e8222bb4befb0a6d9ddf8b00d69
================

Purchases: (frm-1ef8c6949a634690b1a8c0ba04d4acda)
	'Customer' from_form (fld-8d14f6b4d1f548969179465843edeaa0) toOne 'Customers' (frm-74813cf4d5e9466786d94835bb631e89)
	'Date & Time' date_time (fld-04cf1e8e78c44bbbbdbb73de551c9ff7)
	'Purchase ID' calc (fld-b9e4ce6cc4924a8abf4303a520c9c1eb)
	'Coupon' from_form (fld-9747e0950c184972a24ec957365ef4de) toOne 'Coupons' (frm-75b20fd711814723aeec5d0b82654885)

Customers: (frm-74813cf4d5e9466786d94835bb631e89)
	'Photo' photo (fld-a713d3becf424a03a9874e4ef58f1cac)
	'Name' text (fld-09c06e6fb4ac45f396d34f37f1eb5134)
	'Unclaimed Coupons Count' script (fld-5df1a4a31f26465eb92300f2e5dbef20)
	'Unclaimed Coupons' form (fld-ceed38ab41c3491e87701c9ed8afd9e1) join 'Coupons' (frm-75b20fd711814723aeec5d0b82654885)
			 ON Customers.Coupon Key == Coupons.Coupon Key
	'Purchases' form (fld-473360977fa94a32a5ff7ac7bc936abc) toMany 'Purchases' (frm-1ef8c6949a634690b1a8c0ba04d4acda)
	'Coupons' form (fld-acaa893ee387440ea894a42f6aaf93db) toMany 'Coupons' (frm-75b20fd711814723aeec5d0b82654885)
	'Coupon Key' calc (fld-8a0b920043ef457b840bc7359331dcb6)
		Referenced Fields: 
		 - Customer ID (fld-d22a0cd4e0e848b7a0215b8c358b9c4b)
	'Customer ID' calc (fld-d22a0cd4e0e848b7a0215b8c358b9c4b)

Coupons: (frm-75b20fd711814723aeec5d0b82654885)
	'Customer' from_form (fld-d8ae855a86c04fc9a5fcea5e9271fb45) toOne 'Customers' (frm-74813cf4d5e9466786d94835bb631e89)
	'Coupon ID' calc (fld-6f8298c572b34b9a970b08f5144e8052)
	'Purchases Counter' script (fld-53d2deb246c44b53b88445777c89a4d4)
	'Purchase Count' calc (fld-933cd52286e3446ea2c88d0845c60852) - calculation field missing formula!
	'Claimed' check_mark (fld-1b9172f2b462431fa75e17a38199f017)
	'Coupon Key' calc (fld-926d6814fc3a428e878acaf0305dbaf9)
		Referenced Fields: 
		 - Customers::Customer ID (frm-74813cf4d5e9466786d94835bb631e89::fld-d22a0cd4e0e848b7a0215b8c358b9c4b via fld-d8ae855a86c04fc9a5fcea5e9271fb45)
		 - Purchase Count (fld-933cd52286e3446ea2c88d0845c60852)
		 - Claimed (fld-1b9172f2b462431fa75e17a38199f017)
	'Purchases' form (fld-328c4efe13d8420198034eccca4e4841) toMany 'Purchases' (frm-1ef8c6949a634690b1a8c0ba04d4acda)

All done

As you can see it’s a dump of the structure of the TapForms document which is in a format that doesn’t expose too many details beyond field names. You’ll have to change the https bit to match your document and hostname. You can use the mouse to highlight the text to copy and then paste into the forum to share.

[Sam Moffatt]

Ok so I decided to do a quick POC for this that turned out to be not so quick. I’m going to share this quickly since it’s 2am and I need to sleep but I think it is a step in the right direction. It doesn’t deal with checkboxes because that logic is a little hard for me to follow.

The attached document has three forms: Purchases and Coupons and Customers. I’m going to do this a little backwards so bear with me.

The “Purchases” form just records the individual purchases that were made, think of these like your checkboxes but with one record per purchase. This has advantages when it comes to sync as you are less likely to have sync conflicts with two people changing the same record. It’s a pretty useless record in general tracking a created date & time as well as a unique ID. It has links back to Customer and Coupon.

The “Coupons” form has a link to the Customer, a Coupon ID, a couple of counters, a flag for if this coupon has been claimed, a JOIN key field and then a Link to Form for the “Purchases”. The “Coupon Key” calculation takes the unique ID of the Customer, adds the purchase counter field and adds the claimed flag. This is done so that the Customer form can JOIN to get unclaimed coupons.

The “Customers” form has a bunch of stuff in it. I added a photo and title field for fun then we get into the more interesting business. Probably easiest to just list each of the fields out:

– Unclaimed Coupon Count: A script to count the JOIN field for unclaimed coupons.
– Unclaimed Coupons: A Link to Form JOIN field for unclaimed coupons; uses the Coupon Key to find coupons belonging to this customer that have 15 purchases and aren’t claimed.
– Purchases: A Link to Form 1:M field for all of the purchases the customer has made.
– Coupons: A Link to Form 1:m field for all of the coupons the customer has.
– Coupon Key: This is a calc field with the customer ID, the number 15 (number of purchases) and the number 0 (the coupon claimed flag)
– Customer ID: This is a single time generated unique identifier.

For “Customers”, there’s a “Customer View” layout that is your front end view for your data entry folk. It’s ugly right now but has two buttons that do something interesting: add purchase and claim coupon. Add purchase prompts to add a number of purchases and “claim coupon” prompts for a coupon code to redeem.

There are two other form scripts: “Claim Coupon (Any)” and “Create Coupons”. The first is a variant of “claim coupon” that finds any valid coupons and claims them. If you’re handing out things to customers to return, that’s not so useful but if you are letting customers claim when they have credits then you can use this instead. The second looks through the database to process all of the customers, all of their purchases and creates “coupon” records for them. This “Create Coupons” script would be your daily admin task. In theory it could be included with the “Add Product” flow to be done automatically.

Some quirks I found when playing with this is that not everything is being recalculated properly. After running some of the scripts, you might need to go to each form and click the “refresh records list” button. If something doesn’t look right, go through each of the three forms and click on this button. That should clear out any weird caching behaviour and cause the calculation fields to update properly. Something about adding records via scripting doesn’t trigger the updates properly for calculation and script fields which then means the JOIN fields are broken.

This could be simplified further by hiding the fields in places but I think this captures some of the simplicity you’re after in a model that I think maps better to how TapForms internally operates. This is also much safer when handling multiple data entry points and potential conflicts that having a single form with a lot of checkboxes wouldn’t. Downside of this is that it only works on the Mac.

Purchases: (frm-1ef8c6949a634690b1a8c0ba04d4acda)
	'Customer' from_form (fld-8d14f6b4d1f548969179465843edeaa0) toOne 'Customers' (frm-74813cf4d5e9466786d94835bb631e89)
	'Date & Time' date_time (fld-04cf1e8e78c44bbbbdbb73de551c9ff7)
	'Purchase ID' calc (fld-b9e4ce6cc4924a8abf4303a520c9c1eb)
	'Coupon' from_form (fld-9747e0950c184972a24ec957365ef4de) toOne 'Coupons' (frm-75b20fd711814723aeec5d0b82654885)

Customers: (frm-74813cf4d5e9466786d94835bb631e89)
	'Photo' photo (fld-a713d3becf424a03a9874e4ef58f1cac)
	'Name' text (fld-09c06e6fb4ac45f396d34f37f1eb5134)
	'Unclaimed Coupons Count' script (fld-5df1a4a31f26465eb92300f2e5dbef20)
	'Unclaimed Coupons' form (fld-ceed38ab41c3491e87701c9ed8afd9e1) join 'Coupons' (frm-75b20fd711814723aeec5d0b82654885)
			 ON Customers.Coupon Key == Coupons.Coupon Key
	'Purchases' form (fld-473360977fa94a32a5ff7ac7bc936abc) toMany 'Purchases' (frm-1ef8c6949a634690b1a8c0ba04d4acda)
	'Coupons' form (fld-acaa893ee387440ea894a42f6aaf93db) toMany 'Coupons' (frm-75b20fd711814723aeec5d0b82654885)
	'Coupon Key' calc (fld-8a0b920043ef457b840bc7359331dcb6)
		Referenced Fields: 
		 - Customer ID (fld-d22a0cd4e0e848b7a0215b8c358b9c4b)
	'Customer ID' calc (fld-d22a0cd4e0e848b7a0215b8c358b9c4b)

Coupons: (frm-75b20fd711814723aeec5d0b82654885)
	'Customer' from_form (fld-d8ae855a86c04fc9a5fcea5e9271fb45) toOne 'Customers' (frm-74813cf4d5e9466786d94835bb631e89)
	'Coupon ID' calc (fld-6f8298c572b34b9a970b08f5144e8052)
	'Purchases Counter' script (fld-53d2deb246c44b53b88445777c89a4d4)
	'Purchase Count' calc (fld-933cd52286e3446ea2c88d0845c60852) - calculation field missing formula!
	'Claimed' check_mark (fld-1b9172f2b462431fa75e17a38199f017)
	'Coupon Key' calc (fld-926d6814fc3a428e878acaf0305dbaf9)
		Referenced Fields: 
		 - Customers::Customer ID (frm-74813cf4d5e9466786d94835bb631e89::fld-d22a0cd4e0e848b7a0215b8c358b9c4b via fld-d8ae855a86c04fc9a5fcea5e9271fb45)
		 - Purchase Count (fld-933cd52286e3446ea2c88d0845c60852)
		 - Claimed (fld-1b9172f2b462431fa75e17a38199f017)
	'Purchases' form (fld-328c4efe13d8420198034eccca4e4841) toMany 'Purchases' (frm-1ef8c6949a634690b1a8c0ba04d4acda)

Attachments:

You must be logged in to view attached files.

[Brendan]

Did you get any syntax errors when running your script in the Script Editor?

Make sure you don’t use curly quotes or curly apostrophes. That can cause things to fail.

if (reward == ‘YES’ && over_15 == 10) {

From what I can see, you’ve got curly apostrophes around YES. It should be:

if (reward == 'YES' && over_15 == 10) {

[Karl M. Rowe]

Hi, Sam!

“Do either of these sound like something closer to helping solve your problem?”

I liked reading what you proposed as a way to go forward. I will be re-reading your post to make sure I didn’t miss anything, but on my first read-through, I wanted to see the code, to see how this would work.

whatever reason I have been posting responses to the posts here much later than I would have otherwise, and the result is that I’m never sure when my posts have actually posted here. (One of my posts were stuck in the browser with an error message from your web server.)

Let me ask you a simpler script question:

Let’s say in a form you had the Checkboxes A!..A3 snd Checkboxes B1..B3, and when CBB1 and/or CBB2 and/or CBB3 is/are set to “1” (checked), then the CBA1, CBA2 and CBA3 checkboxes would be reset to “0” (unchecked), and only if CBB1 was set to “1” would the corresponding CBA1 would to set to “1” and CBB1 would be set to “0”; only if CBB2 was set to “1” would the corresponding CBA2 would to set to “1” and CBB2 would be set to “0”; and only if CBB3 was set to “1” would the corresponding CBA3 would to set to “1” and CBB3 would be set to “0.”

What would such code look like? Would you use a “IF/ELSE” or a “FOR” loop to do this or something else altogether?

I’m also interested in seeing your proposed script. Thanks.

Peace

[Karl M. Rowe]

[This post was in my iPhone’s browser with an error since last week that I only just noticed, but for some reason it was never posted]

Hi, Sam!

“Why not record the purchase events and calculate how many purchases from there?”

This database is being built for non-computer literate people, who would only be responsible for nothing purchases made and by whom; nothing more.

The “admin” would note the purchases made daily and note the free items that would be awarded to eligible customers, snd reset the two sets of checkboxes in the database as required. Now I was given some sample code to use in a script, but I’ve no idea how to identify each of the checkboxes using the app, but this database isn’t something I would build for my use.

Pesce

[Karl M. Rowe]

Hi, Sam and Brenden! i’m

I appreciate your pointing out to me how I might use a script with my database to reset a set of checkboxes. I’d like to see a few examples of how such might be used. An example of an “Are you sure (y/n)?” prompt using Javascript is something I’d also be interested in seeing. Thanks for your reply.

I wrote the following script that is designed to do a checkbox reset of the first set of checkboxes *only* when the “reward” field is equal to “YES,” and to use the number in the “over-15” field that represents the number of checked checkboxes in the second set of checkboxes to reset all of these checkboxes, but repopulate the reset first set of checkboxes with the number of checkboxes in the “Over-15” field, and afterward display a “Done!” prompt If the “reward” field is equal “no,’ the script should end without a checkbox reset at all.

For example, if there are three checked checkboxes in the second set of checkboxes, the script would end with three checked checkboxes in the first set of checkboxes; if there is one checked checkbox in the second set of checkboxes, the script would end with one checked checkbox in the first set of checkboxes. Thanks for any help “you guys” might be able to provide me.

The script, which doesn’t work, and may need to be discarded for a better one, is s follows:
function Test2() {

var f1_id = ‘fld-66cc9d4ad3c149c496cd3be90ea0f88c’;
var f2_id = ‘fld-0dca226557ba47d2b806dd2f20d955ec’;
var f3_id = ‘fld-e084b0d50e104044ab8baf2df11ae1e4’;
var f4_id = ‘fld-6ee4490027334c8ea99f9e0365fef5f7’;
var f5_id = ‘fld-b31757d2bda64dbfadf5fa3569857c33’;
var f6_id = ‘fld-fbb171c0d7c14d90b5a248ea6baab1a9’;
var f7_id = ‘fld-43a5c0ff16694eb19325b9c24dcaa2de’;
var f8_id = ‘fld-4f1cbec2e2bd475b8a58badd20e66826’;
var f9_id = ‘fld-9985de5176ac4861890a245c729e818a’;
var f10_id = ‘fld-c5cf49dd9e954f18952e0eb7354f93aa’;
var f11_id = ‘fld-49c502ea885342738df3ce1958d0542e’;
var f12_id = ‘fld-22395b52e8a344e8b23499df65def764’;
var f13_id = ‘fld-07b05a9ad759465abd4ffc436e74b11e’;
var f14_id = ‘fld-6be47e6efbee473b9a725e67167dd90c’;
var f15_id = ‘fld-d507eb4e113d4380b1ab5f2f20518e6c’;

var fx1_id = ‘fld-e3cd7e31ec7541538b424b7dfbd51ae0’;
var fx2_id = ‘fld-c98c294dffbc4f19a02dea33473df2c8’;
var fx3_id = ‘fld-98c491b1011c430f9cdae91937c6c6d5’;
var fx4_id = ‘fld-2fbadd9308b04c7ab0de74eeee1d5ef6’;
var fx5_id = ‘fld-af079845162241559254c094021892d5’;
var fx6_id = ‘fld-d864cc7f08154fc2bad5762f4d086f4f’;
var fx7_id = ‘fld-e4797c4cbab44dc0be98495b18978c79’;
var fx8_id = ‘fld-ba105d19a44e4cc59670df9c538b8992’;
var fx9_id = ‘fld-488d0a66e8b04e62b71288305b00dff5’;
var fx10_id = ‘fld-f96f1a34300b4a2ab2d7cd30f7801e69’;

var over_15 = record.getFieldValue(‘fld-83370febd23045f6b839a9401cf598fd’);
var reward = record.getFieldValue(‘fld-61bd01ed639d4166949dd3404d10036e’);

record.setFieldValue(f1_id, 0);
record.setFieldValue(f2_id, 0);
record.setFieldValue(f3_id, 0);
record.setFieldValue(f4_id, 0);
record.setFieldValue(f5_id, 0);
record.setFieldValue(f6_id, 0);
record.setFieldValue(f7_id, 0);
record.setFieldValue(f8_id, 0);
record.setFieldValue(f9_id, 0);
record.setFieldValue(f10_id, 0);
record.setFieldValue(f11_id, 0);
record.setFieldValue(f12_id, 0);
record.setFieldValue(f13_id, 0);
record.setFieldValue(f14_id, 0);
record.setFieldValue(f15_id, 0);
//record.setFieldValue(fx1_id, 1);
//record.setFieldValue(fx2_id, 1);
//record.setFieldValue(fx3_id, 1);
//record.setFieldValue(fx4_id, 1);
//record.setFieldValue(fx5_id, 1);
//record.setFieldValue(fx6_id, 1);
//record.setFieldValue(fx7_id, 1);
//record.setFieldValue(fx8_id, 1);
//record.setFieldValue(fx9_id, 1);
//record.setFieldValue(fx10_id, 1);

if (reward == ‘YES’ && over_15 == 1) {
record.setFieldValue(f1_id, 1);
record.setFieldValue(fx1_id, 0);
} else

if (reward == ‘YES’ && over_15 == 2) {
record.setFieldValue(f2_id, 1);
record.setFieldValue(fx2_id, 0);
} else

if (reward == ‘YES’ && over_15 == 3) {
record.setFieldValue(f3_id, 1);
record.setFieldValue(fx3_id, 0);
} else

if (reward == ‘YES’ && over_15 == 4) {
record.setFieldValue(f4_id, 1);
record.setFieldValue(fx4_id, 0);
} else

if (reward == ‘YES’ && over_15 == 5) {
record.setFieldValue(f5_id, 1);
record.setFieldValue(fx5_id, 0);
} else

if (reward == ‘YES’ && over_15 = 6) {
record.setFieldValue(f6_id, 1);
record.setFieldValue(fx6_id, 0);
} else

if (reward == ‘YES’ && over_15 == 7) {
record.setFieldValue(f7_id, 1);
record.setFieldValue(fx7_id, 0);
} else

if (reward == ‘YES’ && over_15 == 8) {
record.setFieldValue(f8_id, 1);
record.setFieldValue(fx8_id, 0);
} else

if (reward == ‘YES’ && over_15 == 9) {
record.setFieldValue(f9_id, 1);
record.setFieldValue(fx9_id, 0);
} else

if (reward == ‘YES’ && over_15 == 10) {
record.setFieldValue(f10_id, 1);
record.setFieldValue(fx10_id, 0);
}
}

// Replace with your own code
var msg = “Done!”;
return msg + ‘ ‘ + over_15;

}

Test2();

[Sam Moffatt]

Let’s take a step back, my guess here is that you’re trying to port to TapForms a workflow that is based on maybe stamps or some other process today. Each purchase you get a stamp on a card and after 15 stamps, you get a voucher/coupon for a free item (or you simply hand in the completed card).

If that’s the case then I’d model that with a “card” form that has 15 checkboxes on it and then those get ticked off. If you purchased 19, a new card record would need to be created with those four items ticked. You could have a customer field in here though I’d really suggest modelling that as a form because then you can lookup by customer and see their loyalty cards. You could in theory do some form scripts in the “customer” form which just accepted how many items were purchased and would encapsulate the logic of the cards.

One item that would work here is in the “customer” form is setting up a JOIN field on a calculation field that found all of the “cards” that are completed and let them be redeemed. If there was a “redeemed” checkbox on the form that could be used as a part of a toggle to filter records.

To recap:

– “customer” form with all of the customers with 1:M to “card” form
– “card” form with each of the purchases checkboxes and a “redeemed” checkbox
– form script in “customer” to check the boxes and create new card records
– JOIN field in in “customer” to find fully checked cards that aren’t redeemed

This is one way of tackling the problem that I think is a little closer to what you might have started with but this is a bit of a stab in the dark.

—-

Let’s take a different approach that would be modelled more off a more integrated system. For data entry, it’s adding a record for each purchase that is made. Ideally that’d be automated with your POS or similar system. If you start with a customer form, then you pull up the customer record first and add their purchases to it defaulting to the current date. You could also model this as a quantity count which would be easier to enter but that makes it a little harder to do the next part.

I’d also model it as another form setup with Link to Form 1:M for the purchases that are made. You could automate creating new “coupon” records that link to the purchases automatically and have a “redeemed” flag on the coupon. This is in a sense replicating the card aspect to have each of the purchases be a “stamp” in the record. Each has 15 items linked and that’s could be automated by a script.

Similar to the above the cards could be linked together and you could use a JOIN field to have it show up.

Do either of these sound like something closer to helping solve your problem?

[Brendan]

The alternative would be for you to use a Link to Form field or a Table field.

Perhaps just a Table field would suffice for your case.

This way you could add a Date field to your Table field and then add as many sub-records as you like. Maybe even add a separate Title or Description field to the Table field so you can describe what each Date represented.

[Karl M. Rowe]

Hi, Brenden!

“I guess I’m confused by would be noted. Is that something that needs to be automated too? What do you mean by noted?”

The person I am calling the “admin” would use pen and paper to make a “note” of the customers that have reached the 15-unit purchase threshold, entitled them to a free unit. The admin would also make a “note” of how many checkboxes in the second set have been checked (there is a “Calculation” field that indicates how many checkboxes have been checked so that after both sets of checkboxes have been reset, this number of checkboxes corresponded to the previously checked checkboxes in the second set of checkboxes would be checked in the first set of checkboxes. I would love to create a script that would be run on all records containing 15 or more checked checkboxes to reset both sets of checkboxes and then fill whatever number of checkboxes there were in the second set of checkboxes in the first set of checkboxes. But at present I have no idea how to designate which checkboxes should checked or unchecked, as the case may be, or how an FOR/NEXT loop can be employed in such a script to set within the first set of checkboxes the equivalent number of checkboxes that had been set in the second set of checkboxes.

“Is it that when all 15 are checked, the first of the X checkboxes must be then clicked, then the next time all 15 are checked, then the 2nd of the X checkboxes must then be clicked?”

No; my previous explanation here was confusingly awful, and I hope what I’ve said above clears up the ambiguity I caused you and others here trying to comprehend my explanation.

“Maybe I’m just being daft. Sorry.’

I’m sure you aren’t daft. I just wasn’t clear and I’m sorry.

Peace

[Karl M. Rowe]

Hi, Sam!

“Why not record the purchase events and calculate how many purchases from there?”

This database is being built for non-computer literate people, who would only be responsible for nothing purchases made and by whom; nothing more.

The “admin” would note the purchases made daily and note the free items that would be awarded to eligible customers, snd reset the two sets of checkboxes in the database as required. Now I was given some sample code to use in a script, but I’ve no idea how to identify each of the checkboxes using the app, but this database isn’t something I would build for my use.

Pesce

[Karl M. Rowe]

“The four ‘Over-15’ checked checkboxes would be noted and the first four of the first set of checkboxes would then be checked. I would love to be able to automate these two functions with a script.”

I’m sorry; the items that correspond to the first 15 checkboxes as well as four checkboxes in the “Over-15” checkboxes are the number of items purchased during a calendar month by the customer. I had tossed out 19 items as an example without explaining why 19. If the customer were to have purchased 19 items during the month, this would be recorded in the database by making sure that all 15 of the checkboxes in the first set are checked, and making sure that four of the ten “Over-15” checkboxes in the second set would be checked.

A search of the database for all records containing a “Yes” at the end of a month would include this record, indicating that this customer is entitled to a free item, but the 15 checkboxes of this record and all other “Yes” records would then need to be reset (so I would definitely have a use for the script you provided to reset these checkboxes!). This means that for each “Yes” record, I would do such a reset and then use the number in the database that indicates the total number of “Over-15” checkboxes checked—in the case of this record that number is “4”—to set four of the 15 checkboxes just reset and then reset the “Over-15” checkboxes (using a similar script to reset all ten checkboxes).

The database is ready to record subsequent purchases made, which would entitle this same customer to another free item should she purchase an additional 11 items during the following month. I realize this explanation was needlessly verbose, but I rushed this post. I’ll read it layer, but I hope you should get the drift.

Peace